The AI Native Dev - from Copilot today to AI Native Software Development tomorrow

You Don't Need Juniors to Code. Hire Them Anyway.

Tue, 08 Sep 2026 13:00:00 +0100

Coding agent reliability isn't a model problem, it's a gates problem. Ran Aroussi, creator of yfinance and founder of Automaze, argues that an "agentic workflow" is a contradiction in terms, and that the only thing standing between you and full autonomy is deciding where a human still signs off. He also thinks you stopped needing junior developers for their coding skills about a year ago, and that hiring them anyway is the only way the industry gets its next generation of architects.

What we cover:
– Why "agentic workflow" is a contradiction, and when agentic coding is the wrong tool for the job
– Where a human still has to sign off, and what coding agent reliability actually depends on
– What a software factory changed about delivery times, pricing and the client backlog
– Why you no longer need juniors for their coding skills, and why you should hire them anyway
– Teachable knowledge vs earned knowledge, and the experience agents cannot compress
– The law firm model: why dev agencies may end up looking more like Kirkland & Ellis than a SaaS startup

Chapters:
00:00:00 - Introduction
00:03:05 - yfinance, open source and 30 million downloads a month
00:06:03 - Automaze and the MUXI agent application server
00:10:42 - Where to draw the line on agent autonomy
00:15:12 - Software factories and fully autonomous merges
00:22:25 - The architect archetype and the four-phase ladder
00:28:11 - Teachable knowledge vs earned knowledge
00:30:14 - What agents did to delivery times and pricing
00:37:03 - Why "agentic workflow" is an oxymoron
00:41:08 - Anthropic, OpenClaw and the end of flat subscriptions

Build your software factory, one workflow at a time, with Tessl:
https://tessl.co/vut

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Where's your gate? Tell us in the comments where you still refuse to let a coding agent merge without a human looking.

850 PRs a Week: How Tessl Runs a Software Factory

Wed, 02 Sep 2026 13:00:00 +0100

The software factory that put up 850 pull requests in a week, with 85 to 90% of them handled by agents end to end. Tessl's Head of Product Dru Knox on how it actually got built, why it started with skills rather than automation, and the two things nobody expects a factory to change. Guy Podjarny digs into the skills-to-loops-to-factory path, and what breaks when you skip a step.

What we cover:
– What a software factory actually is, and how it differs from a pile of disconnected automations
– Loop engineering: turning a skill into something that gets better every time it runs
– Why context engineering has to come before automation, and what stalls when it doesn't
– The two gains nobody forecasts from extra agent capacity: quality and fungibility
– Verifiers and evals, or how you enforce a standard that agents are free to ignore
– Context-driven code review, and why a general-purpose reviewer plateaus

Chapters:
00:00:00 - Introduction
00:03:23 - Kikimora: Tessl's own dark factory
00:04:45 - Skills, loops and factories, defined
00:09:09 - 850 PRs a week, and the road to it
00:11:27 - The surprises: quality and fungibility
00:13:16 - Why a factory has to be context centric
00:16:40 - Context-driven code review and the wall teams hit
00:22:51 - Skills inventory across your whole code estate
00:28:38 - Verifiers, evals and enforcing what you wrote down
00:37:30 - Loops, automations and owning your software factory

Build your software factory, one workflow at a time, with Tessl:
https://tessl.co/coi

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If you've hit the plateau Dru describes, tell us where it stopped compounding for you.

Lada Kesseler: I Trust AI Tests Less Than AI Code

Tue, 25 Aug 2026 13:00:00 +0100

Lada Kesseler's approach to loop engineering is brutally simple: give the agent one step, make it write the result to a file, then read it back and go again. She calls it a centrifuge. Spin fast enough and the stupid comes out.

The Logic20/20 principal engineer has spent the last year and a half building the ground rules, skills and refinement loops that fight the defaults coding agents ship with, starting with an instruction to stop trying to please her. Along the way she explains why she trusts AI-written tests less than AI-written code, why the description field in an agent skill was never meant for humans, and why most teams chasing a software factory are about to drown in garbage.

What we cover:
– Why agent ground rules have to give the model a mission to disagree with you
– The refinement loop that gets to quality when the first attempt never does
– Why an agent harness only works if it does one thing at a time
– Sketch prototypes: replacing your code with a markdown file and an agent
– Why AI-generated tests are more dangerous than AI-generated code
– Software factories, and what happens when you try to switch into one overnight

*AI DevCon is coming back to New York this November*
Get 15% off your ticket with code POD15
https://tessl.io/devcon#tickets

Chapters:
00:00:00 - Introduction
00:03:38 - Using AI for everything, not just code
00:06:15 - Ground rules: fixing the defaults agents ship with
00:10:02 - Agent skills and why the description isn't for humans
00:13:09 - Loop engineering: how you actually get to quality
00:16:03 - The biggest misconception about coding agents
00:20:43 - Sketch prototypes and the limits of AI architecture
00:27:48 - Reverse direction: you are the decider
00:31:58 - Why she trusts AI tests less than AI code
00:35:00 - Software factories, or drowning in garbage

Build your software factory, one workflow at a time, with Tessl:
https://tessl.co/k2t

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Where are you on the loop engineering curve, still hoping for a good first try or already spinning? Tell us in the comments.

Every Repo Is a Software Factory Now | Don Syme, GitHub

Tue, 18 Aug 2026 13:00:00 +0100

Turning every repo into a software factory sounds like marketing until you see the machinery underneath. Don Syme, Principal Researcher at GitHub, breaks down continuous AI and GitHub Agentic Workflows, now in public preview. The short version: the agents are the easy part, the quality gates and guardrails are the work.

Watch Don's AI DevCon Talk here: https://youtu.be/kbvqRWY-bUs

What we cover:
– What continuous AI is, and why it sits beside CI/CD rather than inside it
– Why bounding the context is what stops automated agents going off the rails
– Whether the repo is really the right unit for a software factory, and where monorepos break it
– One workflow or an agent zoo? Cost control, scheduling and model exams
– Quality gates, human review, and equipping the reviewer instead of drowning them

Chapters:
00:00:00 - Introduction
00:03:52 - What is continuous AI?
00:07:33 - From single player to multiplayer automation
00:09:42 - Bounding the context so agents don't go off the rails
00:12:57 - Software factories, loops and harnesses
00:18:44 - Inside GitHub Agentic Workflows
00:25:19 - Why the repo became the unit of production
00:37:11 - What belongs in the repo, and what doesn't
00:45:07 - One workflow or an agent zoo? Cost control in the factory
00:52:01 - Quality gates, human review and equipping the reviewer

🌐 Tessl: https://tessl.io
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If you're building a software factory of your own, tell us in the comments where your bottleneck actually sits.

The Background Check You Can't Run on an AI Agent

Tue, 11 Aug 2026 13:00:00 +0100

The thing that makes an agent useful is the exact thing that makes it dangerous. Keycard co-founder Ian Livingstone breaks down why non-determinism is both the feature and the bug, and why identity, not model quality, is what really gates how much autonomy you can hand an agent. If you have ever clicked "always allow" without reading it, this one is about you.

What we cover:
– Why authentication was enough in the cloud era and stops being enough with agents
– The background check you can't run on an agent, and what has to replace it
– Mission identity: who is acting, on whose behalf, and for what purpose
– Cross App Access, Agent Auth and the protocols trying to fix OAuth
– Consent fatigue, LLM as a judge, and where hard boundaries still belong
– Why MCP ships with an auth story and CLI tools don't

Chapters:
00:00:00 - Introduction
00:03:43 - Why every wave of computing rewrites identity
00:04:50 - The feature and the bug are the same thing
00:10:23 - Why shared secrets break for agents
00:13:36 - The background check you can't run on an agent
00:19:42 - Chargebacks, delegation and proving intent
00:22:16 - Mission identity: a new layer
00:28:07 - Cross App Access, Agent Auth and emerging protocols
00:33:02 - MCP vs CLI, and how Keycard works
00:43:22 - Identity three years from now

🌐 Tessl: https://tessl.io
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Where do you draw the hard line for your own agents? Tell us in the comments.

Datadog Deleted All Its AI Context. It Worked.

Tue, 04 Aug 2026 13:00:00 +0100

Datadog's Language Foundations team deleted an entire folder of AI context files that had been carefully written and maintained for over a year, expecting a performance hit. Instead, their evals got better. Simon Boudrias, who runs Language Foundations at Datadog, walks Guy through what that taught his team about context rot, and the full journey of scaling AI coding agents to 4,000 engineers.

What we cover:
– How Datadog scaled Cursor and Claude Code to 4,000 engineers in under a year
– Why Datadog deleted all of its AI context files, and what happened to eval scores
– Building an eval-driven code review system that replays old PRs to catch real incidents
– Where open-weight models like GLM 5.2 stand against the frontier
– Rethinking hiring and career ladders now that AI can run a real codebase interview

Chapters:
00:00:00 - Introduction
00:03:19 - Simon's role and Datadog's 4,000-engineer org
00:04:31 - The Cursor rollout that took off overnight
00:07:53 - How Claude Code entered the picture
00:10:51 - Building dedicated Signals and Flows teams
00:11:58 - Why Datadog bet early on evals
00:33:44 - Deleting all their AI context and getting better evals
00:47:51 - Where open-weight models stand today
00:51:45 - Rethinking hiring and career ladders for AI
00:59:24 - The real prize: better decisions, not just productivity

🌐 Tessl: https://tessl.io
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What's the oldest file in your AGENTS.md or CLAUDE.md that you're afraid to delete? Tell us in the comments.

Inside the Dark Factory: AI That Ships Code Solo

Tue, 28 Jul 2026 13:00:00 +0100

At Tessl, 95% of the code shipped by their internal "Dark Factory" has never been looked at by a human, and the team still ships hundreds of pull requests a week, including through entire weekends. Rob Willoughby, who leads AI engineering at Tessl, joins Simon to open up the hood on how it actually works: the orchestrator, the verification layers, and the failures that forced the team to rebuild trust from scratch.

What we cover:
– How Tessl routes 65-70% of its own pull requests through an autonomous "Dark Factory"
– Why context in the repo matters more to output quality than which model you use
– How natural language "verifiers" turn code review taste into fast, cheap checks agents can pass or fail
– The queue bug that took dozens of pull requests to fix, and the from-scratch Elixir rewrite that stress-tested the whole system
– How to start building your own software factory, one verification layer at a time

Chapters:
00:00:00 - Introduction
00:01:44 - Rob Willoughby joins: Tessl's PR numbers
00:04:01 - Live demo: kicking off two pull requests
00:14:03 - Building the Dark Factory: orchestrator vs. context
00:19:01 - Code review layers: Code Rabbit, Tessl Change Verify, and verifiers
00:29:58 - Earning trust: accountability in an autonomous system
00:33:20 - What broke: the queue bug and the Elixir rewrite experiment
00:39:56 - Onboarding new engineers into the factory
00:42:58 - Advice for teams starting their own software factory
00:52:03 - Back to the demo, and the road to 100% adoption

🌐 Tessl: https://tessl.io
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What would your own verification layer catch, and where would it break? Let us know in the comments.

BONUS: Snyk Found Malware Inside AI Agent Skills

Thu, 23 Jul 2026 13:00:00 +0100

One Snyk developer's AI skill quietly handed their coding agent production credentials, and the security team found out the hard way. Krzysztof Huszcza, who leads AI security incubation at Snyk, joins this special Tessl and Snyk live stream to unpack the ToxicSkills research that uncovered 76 malicious agent skills in the wild, and what it actually takes to run coding agents safely at scale.

What we cover:
– How Snyk's security team found 76 malicious skills hiding inside a popular open agent skill repository
– Why skills have become the go-to way developers hand context to their coding agents
– The internal incident at Snyk where a developer's skill exposed production credentials to an agent
– How the Tessl and Snyk integration scans every skill and MCP server for risk before you install it
– What's coming next with Snyk's new Evo product for governing coding agents at scale

Chapters:
00:00:00 - Introduction
00:01:33 - Chris's role: AI security incubation at Snyk
00:02:16 - Snyk's roots as a developer-first security company
00:03:58 - New security challenges from AI coding agents
00:06:26 - Skills: the new way to give agents context
00:07:35 - Inside Snyk's ToxicSkills research: malware and prompt injection
00:11:35 - How developers can vet skills before installing them
00:14:38 - A real incident: exposed production credentials at Snyk
00:17:45 - Building a secure-by-default agent stack
00:23:35 - What's next: Snyk's new coding agent security product

🌐 Tessl: https://tessl.io
🔔 Subscribe for weekly episodes on AI-native development

What's the riskiest skill you've installed without checking it first? Let us know in the comments.

From Living Room Hack to 30 AI Agents at Cyera

Tue, 21 Jul 2026 13:00:00 +0100

An engineer builds an AI agent to manage his own life, decides an unrestricted "does everything" agent is too dangerous to trust, and ends up creating the internal agent platform that now runs 30 agents across his entire company.

Ori Shoshan, tech lead at Cyera, walks through the guardrails, citation system, and knowledge graph that turned "let the agent do anything" into "let the agent do exactly what it's supposed to, and nothing else."

What we cover:
– Why one engineer built his own AI agent in his living room, and how it grew into Cyera's internal agent platform
– Whitelisting tools instead of blacklisting them, plus the "escape hatch" that keeps agents honest
– Backing every claim with a citation and using a second model to catch hallucinations before they reach a human
– Trading RAG for a knowledge graph the agent can walk like a wiki
– Turning "use this platform" into "build your own agent" to drive adoption across an entire engineering org
– Running agents on confidential data that can investigate everything but can only ever say what's been cleared

Chapters:
00:00:00 - Introduction
00:02:04 - Meet Ori Shoshan and what Cyera does
00:06:50 - The living-room spark: why Ori built his own agent
00:11:09 - Whitelisting tools instead of blacklisting them
00:12:55 - Why every claim needs a citation
00:15:35 - Reducing hallucinations with clean-context verification
00:21:04 - Taking Borg to Slack: the first agents at work
00:25:33 - Why naming your agent drives adoption
00:39:53 - Knowledge graphs over RAG
00:52:00 - The AI Captains: scaling adoption with carrots, not sticks

🌐 Tessl: https://tessl.io
🔔 Subscribe for weekly episodes on AI-native development

Have you built guardrails like this into your own agents? Let us know what's worked (or blown up) for you in the comments.

Patrick Debois Maps the Patterns of AI-Native Dev

Tue, 14 Jul 2026 13:00:00 +0100

After DevOps, Patrick Debois has a new map. The godfather of DevOps returns to walk through his AI patterns research: how he tracks where AI-native development is heading by mining social signals instead of surveys, why the stack is settling into patterns worth learning, and why your AI budget problem is really an optimization problem.

What we cover:
– Inside the AI patterns site at Tessl.io/patterns and how it's auto-generated
– The four layers of AI enablement: agent, team, platform, and organization
– Solo, shared, and multiplayer modes: the compounding effect of shared context
– Managing agent costs: budgets as a forcing function for optimization
– Scaling adoption: find the success story, don't fight the skeptics
– Hiring system thinkers instead of elegant coders

Chapters:
00:00:00 - Introduction
00:02:28 - Why AI grips Patrick Debois
00:04:33 - Agent, team, platform and org enablement
00:06:36 - Is AI-native development maturing?
00:11:19 - Inside the AI patterns site
00:18:14 - Quality, security and the IDE as review interface
00:22:45 - Changing roles and harness engineering
00:26:32 - Hiring in the AI era
00:30:31 - Scaling adoption across the org
00:42:03 - Cost management and ROI

🌐 Tessl: https://tessl.io
🔔 Subscribe for weekly episodes on AI-native development

Where is your organization on the maturity curve? Drop your take in the comments.

Inside Anthropic: How Claude Tag Is Changing Agentic Work

Tue, 07 Jul 2026 13:00:00 +0100

Six people reacted to Boris's side-project Slack post. A year later, Claude Code is ubiquitous, and the company just launched its next evolution: Claude Tag, an AI teammate that lives in Slack.

Lamis Mukta, Member of Technical Staff at Anthropic, joins Simon Maple to unpack how Claude Tag works, why Anthropic built it, and what it took internally to go from a scrappy side project to a company-wide habit.

What we cover:
– What Claude Tag actually is, and how it differs from Claude Code and Cowork
– Why trust in AI agents is really a function of model capability, not just comfort
– The internal "dogfooding" culture that shaped Claude Code and Claude Tag
– How Anthropic secures multiplayer AI with agent identities and channel-level permissioning
– Where Claude and Claude Tag show up outside of engineering at Anthropic
– Dreaming: how Anthropic's managed agents continually improve their own memory

Watch Lamis' talk from AI Native DevCon London 2026 here: https://youtu.be/tTcxVv8HHNw

Chapters:
00:00:00 - Introduction
00:01:46 - Meet Lamis Mukta from Anthropic
00:02:56 - What is Claude Tag?
00:10:07 - From single-player to multiplayer agentic coding
00:15:50 - Trust, capability, and the METR chart
00:21:02 - How the industry is really using Claude Code
00:26:33 - The Claude Code origin story
00:33:47 - Agent identities and permissioning at scale
00:40:23 - Claude beyond engineering at Anthropic
00:48:16 - Dreaming and practical tips for rolling out Claude Tag

🌐 Tessl: https://tessl.io
🔔 Subscribe for weekly episodes on AI-native development

What's the one thing your team would delegate to an AI teammate first? Let us know in the comments.

The Tessl Agent: Build Your Software Factory on Autopilot

Tue, 30 Jun 2026 13:00:00 +0100

What if the whole point of your AI agent was to eventually make itself redundant? Dru Knox, Head of Product at Tessl, introduces the Tessl agent — a new interface built not just for AI-assisted coding, but for building the software factory that keeps improving without constant human input.

This is a conversation about loop engineering: how to set up automated feedback cycles so your agents get smarter, your code review gets tighter, and your team ships more without adding more toil.

What we cover:
– What the Tessl agent is and how it fits into the broader Tessl platform
– Loop engineering: why building automated feedback loops is the right place to start
– How the agent sets up and continuously improves agentic code review
– Why optimising your AI agent costs is usually the wrong lever to pull
– The case for open, modular software factories — and the risk of vendor lock-in
– UX expectations in the AI era: why outcome-oriented interfaces are now the baseline

🌐 Tessl: https://tessl.io
🔔 Subscribe for weekly episodes on AI-native development

What's your approach to building feedback loops into your agent workflows? Drop a comment — we'd love to hear how teams are thinking about this.

Why Agents Are Forcing Enterprises to Finally Fix Their Dev Process

Thu, 25 Jun 2026 13:00:00 +0100

Enterprises are finally being forced to care about their software development lifecycle — not because anyone suddenly got disciplined, but because agents cost money and the waste is now visible. When it was humans, it was "Timmy's just lazy." Now it's a line item.

Simon Maple sat down with Patrick Debois (the godfather of DevOps, now DevRel at Tessl), Tammuz Dubnov (co-founder and CEO of Autonomy AI), and Daniel Jones (Head of Product at re:cinq) at AI Native DevCon London for a wide-ranging panel on AI enablement — who owns it, what's breaking, and what the organisations getting it right are actually doing differently.

What we cover:

– Who should own agentic coding adoption inside an enterprise, and why platform teams are already filling the vacuum

– The "Timmy's lazy" problem: why agent cost visibility is forcing process discipline that humans never got

– Why PR-based workflows are an anti-pattern inside enterprises once you're moving at agent speed

– The PUMP framework (Plan, merge, polish): how one team is shipping features with developers, PMs, and designers all opening PRs –

Rethinking what a "test" is in an agentic world — and why feedback loops matter more than first-pass correctness

– The biggest mistake enterprises are making right now: piecemeal adoption with no mandate and no shared tooling

🌐 Tessl: https://tessl.io

🔔 Subscribe for weekly episodes on AI-native development

What's your team's approach to AI enablement — central mandate or letting individuals find their own way? Drop it in the comments.

BONUS: DevCon London: Real Talk on AI ROI, Harnesses & Evals

Tue, 23 Jun 2026 13:00:00 +0100

From the expo floor of AI Native DevCon London, Simon Maple went straight to the developers — speakers, attendees, and sponsors — to ask what's actually working with AI in 2026. The verdict? Outcomes beat outputs every time, 4,000-hour workloads are collapsing to 20 minutes, and the real bottleneck isn't code.

This is a conference floor walkthrough: honest, unscripted takes on harness engineering, evals, AI adoption mindsets, and the change management challenge that nobody talks about enough.

What we cover:
– Why measuring token usage, code commits, and outputs will lead your team astray
– How NearForm cut a 4,000-hour AML backlog to 20 minutes using agents
– Harness engineering and evals as the developer skills that matter most in 2026
– Why change management — not tooling — is the missing ingredient for real AI ROI
– How AutonomyAI is letting PMs and designers ship directly to production

Chapters:
00:00:00 - Welcome to AI Native DevCon London
00:01:03 - Chris Baty: Outcomes Over Outputs
00:05:15 - Martin: How Tooling Changed Everything
00:07:21 - Ryan: Harnesses, Evals and Skills
00:08:50 - Manny Saka: Plan Before You Prompt
00:11:58 - Cian O Maidin, NearForm: Real AI ROI
00:15:21 - Snyk: Building Trust at Scale
00:17:01 - AutonomyAI: Shipping Without Engineering
00:21:35 - Tessl Agent: Harness Engineering
00:22:41 - Closing Thoughts

🌐 Tessl: https://tessl.io
🔔 Subscribe for weekly episodes on AI-native development

Whether you're cautious or YOLOing it with AI — drop where you land in the comments.

AI Security & the Agent-Ready Web: Experts Weigh In

Tue, 16 Jun 2026 13:00:00 +0100

What does it mean to build securely when agents can negotiate their own guardrails? And what happens to the web — CLIs, frameworks, even the browser itself — when the primary user is no longer human? At AI Native DevCon London, Simon Maple sat down with two panels of experts to find out.

First: a security roundtable with Joseph Katsioloudes from GitHub, Liran Tal from Snyk, and John Groetzinger from Cisco.

Then: a web AI conversation with Dana Lawson from Netlify, Maximiliano Firtman from codemia, and James Moss from Tessl.

What we cover:

– Why 83% of enterprises plan to deploy AI but only 29% feel ready to do so securely

– Prompt injection as a risk you have to accept — and how least privilege and sandboxing are your real defences

– The "agent experience" concept: why systems built for human eyes fail at machine scale

– Whether fundamentals like HTTP, semantic HTML, and accessibility still matter when agents do the heavy lifting

– How WebMCP lets websites expose tools directly to agents

— and why blocking them is like trying to turn off the sun

Ryan Lopopolo: OpenAI's Framework for Shipping Code at 70 PRs/Week

Tue, 09 Jun 2026 13:00:00 +0100

Most engineering teams are still arguing about whether to use AI coding agents.

Ryan Lopopolo's team at OpenAI shipped an entire product with no human-written code — and onboarding a new engineer made the team faster within two weeks.

That outcome didn't come from better prompts. It came from what Ryan calls Harness Engineering: the systems, constraints, and feedback loops that sit around the agent — the context it sees, the tools it can call, the tests and linters that close the loop, and the asynchronous CI jobs that catch slop before it compounds.

We sat down with Ryan at AI Native DevCon London 2026, and he got into the specifics: how his team went from 3.5 PRs per engineer per week to 70, why he inverts spec-driven development (build the code first, distill the spec second), and what he means when he says it's "borderline negligent" not to use a billion tokens a day.

It's one of the most grounded, production-focused conversations we've had on The AI Native Dev. The trailer is live now — and the full episode drops this week.

#HarnessEngineering #AINativeDev #SoftwareEngineering

Why Developers Hit a Wall at 4 AI Agents

Tue, 02 Jun 2026 13:00:00 +0100

Engineering teams are shipping twice as many pull requests with AI — but merge rates on AI-generated PRs have dropped from 80% to 60%.

Nick Arcolano, Head of AI & Research at Jellyfish, sits on one of the most comprehensive datasets in the industry: 250,000 developers, 40 million data points, monthly benchmarks on real agentic coding adoption across enterprise companies. What he's seeing in that data is both more promising and more complicated than the headlines suggest.

What we cover:

Why experienced engineers hit a hard ceiling at 4 concurrent agents, and what it would take to break through it
The 80/20 vs 60/40 merge rate gap between human and AI-generated pull requests — and what's actually causing it
How AI adoption reached 71% weekly active usage across 250K developers, and what "depth of use" really means
Why 2026 is the year the CFO gets involved — and how engineering leaders should prepare to show their receipts
The biggest misconception engineering leads have about what it takes to get to true AI-native development
Why companies have jet engines but are still building cars, and what the real architectural changes look like

Links:

🌐 Tessl: https://tessl.io

🔔 Subscribe for weekly episodes on AI-native development

If you're an engineering leader trying to make sense of the gap between the AI hype and what's actually showing up in production, drop your take in the comments.

Don't Secure the Code. Secure the Coder.

Tue, 26 May 2026 15:00:00 +0100

AI agents don't just write insecure code — they can escape their sandboxes, delete files, and do whatever it takes to complete a task. The security mental model that served us through the cloud era isn't enough anymore. Guy Podjarny, founder of Snyk and CEO of Tessl, made the case at London's AI Security Summit: it's time to stop securing the code and start securing the coder.

Recorded live at the AI Security Summit in London, this episode features conversations with Brian Vermeer (Snyk), Sam Stepanyan (OWASP London), and a full recording of Guy's keynote on why agentic development demands a fundamentally different approach to security.

What we cover:

Why shadow AI is the new shadow IT — and why CISOs can't secure what they can't see
Skills as a new supply chain attack surface (malicious, vulnerable, and negligent skills)
Why more context is not always better — and what the data says about focused skill design
The OWASP Top Ten for Agentic AI and what it means for teams building today
Why security must become agentic to keep up with the attackers who already are
The Context Development Lifecycle (CDLC) and how leading orgs are using it

Links: 🌐 Tessl: https://tessl.io

Subscribe for weekly episodes on AI-native development

What's the biggest security risk your team isn't talking about when it comes to agentic development? Drop it in the comments.

The Hidden Security Risks of AI Coding Agents

Tue, 19 May 2026 13:00:00 +0100

Your AI coding agent has access to your secrets, pulls in content from the outside world, and can run shell commands. According to Joe Holdcroft, that combination makes you one prompt injection away from a very bad time. The tools haven't changed the fundamentals of security — they've just made every existing risk move faster, and introduced a few genuinely new ones. What we cover:

Why the "lethal trifecta" of agent capabilities creates a novel threat surface
How text and markdown files have become a new class of vulnerability
Slop squatting: the attack vector created by agents hallucinating package names
The context supply chain — and why it mirrors the early days of npm security
What a "CBOM" (context bill of materials) might look like and why we may need one
How to think about agent trust using the contractor mental model

Chapters:

00:00 Introduction

01:40 The Lethal Trifecta: why agents are inherently risky

03:23 Same hygiene, higher stakes

04:08 Text as a vulnerability: markdown as a security risk

06:08 Do AI tools make you more or less secure?

08:09 Snyk + Tessl: scanning skills in the registry

10:10 The context supply chain problem

14:28 The CBOM: do we need a context bill of materials?

17:35 Secrets, credentials, and principle of least privilege

22:25 Balancing security with developer velocity

36:54 One piece of advice for CTOs going all-in on AI

Links:

🌐 Tessl: https://tessl.io
Subscribe for weekly episodes on AI-native development

If you're thinking about AI governance in your team, drop a comment — how are you handling context supply chain today?

"AI Doesn't Stand for Artificial Intelligence" — Venkat Subramaniam's Take Will Change How You Think About It

Tue, 12 May 2026 13:00:00 +0100

Is AI actually intelligent — or just very fast at guessing based on bad data?

Venkat Subramaniam, 40-year programming veteran, educator, and co-founder of Arc of AI, joins the AI Native Dev Podcast to share a perspective that cuts through the hype: AI stands for Accelerated Inference — not Artificial Intelligence. And that reframe changes everything about how developers should use it.

In this episode, Venkat unpacks why the speed of AI generation has outpaced our ability to review it, why you can delegate work to AI but never your reputation, and tells the story of a $2 million feature that got cancelled with one simple question: "Why are we building this?"

🔑 Topics covered:

— Why "Accelerated Inference" is a more honest name for AI

— The code quality crisis AI has inherited from decades of bad human code

— Accountability, lawsuits, and professional responsibility in the AI era

— What makes a senior developer

— and why AI widens that gap

— The one question that should precede every feature decision

— Why vibe coding is the most overrated AI trend right now

🎙️ Guest: Venkat Subramaniam — author, educator, and co-creator of Arc of AI

🎙️ Host: Simon Maple

📅 Recorded live at Arc of AI, Austin

🔔 Subscribe for weekly conversations with practitioners (not vendors) building with AI.

🎧 Listen on Spotify / Apple Podcasts — search "AI Native Dev"

🌐 Community & events: tessl.io/community

The Creator of Spring Thinks You Can't Code Serious Software With AI

Tue, 05 May 2026 13:00:00 +0100

Rod Johnson — the creator of Spring Framework and founder of Embabel — joins Simon Maple on the AI Native Dev Podcast to share his unfiltered take on where enterprise AI is actually heading.

In this episode, Rod breaks down why enterprises are making a huge mistake rewriting Java apps in Python, why vibe coding will destroy your codebase if left unchecked, and why this might be the last generation of frameworks that developers ever choose for themselves.

Rod also pulls back the curtain on Embabel — the new JVM-native agentic framework he's building — including how it borrows its planning algorithm from NPC AI in video games, why he's skeptical of MCP despite its hype, and the AI failure pattern he keeps seeing in large enterprises.

Whether you're a Java developer navigating the AI wave or a tech lead trying to figure out where to actually invest, this is essential listening.

Topics covered:
0:00 Intro — Rod Johnson, Spring creator, returns to building
5:16 PhD in 19th century Parisian piano music (yes, really)
6:15 What made Rod come back and build Embabel
7:36 "The universe would end before Python could execute inference"
13:08 The #1 enterprise AI failure pattern Rod keeps seeing
16:23 "You cannot vibe code serious software"
19:37 Why Embabel uses a video game NPC planning algorithm
27:47 Why Rod is an MCP skeptic
53:54 "This is the last wave of frameworks chosen by people"

Links:
🔗 Embabel: https://embabel.com

🎟 AI Native Dev London (June 1–2): https://ainativedev.io — use code POD30 for 30% off.

Subscribe for weekly conversations with the engineers and founders building the future of AI-native development.

What OpenAI, Stripe & ElevenLabs Devs Do Differently Now | AI Native Dev

Tue, 28 Apr 2026 13:00:00 +0100

How aligned are teams at Google DeepMind, OpenAI, Stripe, and ElevenLabs on what’s changing in software development?

At AI Engineer London, with 100+ speakers and 1000+ engineers in the room, Simon Maple pulls together perspectives from across the ecosystem to understand where AI-native development is heading.

• why traditional CI/CD “is dead”
• the growing need for automated code review and guardrails
• the move from more context is better to right context at the right time
• the difference between general-purpose models vs specialized domain models

To catch conversations like these in person, register for AI DevCon in London on 1st and 2nd June 2026.

Logan Kilpatrick on Who Ships AGI, DeepMind and the Problem With More Software

Tue, 21 Apr 2026 13:00:00 +0100

"If you could have a system that could build anything with code, humans can't compete on the same level. That's narrow superintelligence, and we're close."

In this episode of AI Native Dev, Simon Maple sits down with Logan Kilpatrick, who spent years at OpenAI working alongside Sam Altman before moving to Google DeepMind as Group Product Manager.

They get into:

There will be 100x more developers in the world because of AI
AGI will be a product, not a model
The way you used AI tools three months ago is already wrong
What's actually changing inside the Gemini team and why it matters for developers building with it today

The developers who win won't be the ones who mastered today's tools. They'll be the ones who never stopped learning the new ones.

Building AI-native? AI DevCon is coming to London, 1st and 2nd June 2026: https://tessl.io/devcon/

Connect with us here:

Simon Maple: https://www.linkedin.com/in/simonmaple/
Logan Kilpatrick: https://www.linkedin.com/in/logankilpatrick/
Google DeepMind: https://www.linkedin.com/company/googledeepmind/
Tessl: https://www.linkedin.com/company/tesslio/?originalSubdomain=uk

Everything 100 Episodes Revealed About AI Native Dev

Tue, 14 Apr 2026 14:00:00 +0100

When did writing code stop being the job and start being the hobby?

One hundred episodes in, Guy Podjarny and Simon Maple pull the clips, check the predictions, and trace the through line across conversations with guests from Datadog, ElevenLabs, GitHub, and more.

They get into:

The move from spec-driven to context-driven development
Why humans become the bottleneck in code review
What changes when agents run the SDLC end-to-end
Adoption across orgs vs depth of actual usage

Thanks to every guest and every listener who made this possible. On to the next hundred.

Want to have these conversations in person? AI DevCon is coming to London on 1st and 2nd June, 2026.

Book your tickets here - https://tessl.io/devcon/

Connect with us here:

Guy Podjarny- https://www.linkedin.com/in/guypo/
Simon Maple- https://www.linkedin.com/in/simonmaple/
Tessl- https://www.linkedin.com/company/tesslio/
AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/

How DeepSeek leveraged Qwen and Llama to build its model in $5M

Tue, 07 Apr 2026 14:00:00 +0100

Meta’s Llama might not actually be open source AI, and the developers building on it have no idea.

In this episode of AI Native Dev, Simon Maple sits down with Amanda Brock, CEO of OpenUK, to break down what open source actually means in the age of AI and why most of the industry is getting it wrong.

They get into:

what open washing is and why it is happening across major models right now
how DeepSeek built a frontier model for $5 million instead of $100 million
why Chinese developers are already on Kimi and the west is sleeping on it
what the west needs to learn from China's open source strategy before it is too late

Eight companies already control the world's digital infrastructure. We cannot let that happen again with AI.

Connect with us here:

Simon Maple: https://www.linkedin.com/in/simonmaple/
Amanda Brock: https://www.linkedin.com/in/amandabrocktech/
OpenUK: https://www.linkedin.com/company/openuktechnology/?originalSubdomain=uk
Tessl: https://www.linkedin.com/company/tesslio/

Why Every Developer needs to know about WebMCP Now

Tue, 31 Mar 2026 13:00:00 +0100

An agent cannot read your website. And that needs to change.

In this episode of AI Native Dev, Guy Podjarny sits down with Maximiliano Firtman, 30-year web developer and author of 14 books, to talk about what building for the web looks like when traffic comes from agents and humans both.

They get into:

why AI agents taking screenshots of your website is inefficient and expensive
what Web MCP is and how it gives agents a direct API into your website
how a 200MB Apple model running offline is opening up a whole new category of web apps
why every vibe coded app is a web app and what that means for the future of the web

Your next visitor might not be human. Are you ready for that?

Connect with us here:

Maximiliano Firtman: https://www.linkedin.com/in/firtman/?locale=es
Guy Podjarny: http://uk.linkedin.com/in/guypo
Tessl: https://www.linkedin.com/company/tesslio/

Stop Maintaining Your Code. Start Replacing It

Tue, 24 Mar 2026 13:00:00 +0000

"The code that we have is a liability. The system is the asset we're building."

Chad Fowler, VC at Blue Yard Capital and former CTO at Wunderlist, sits down with Guy Podjarny to discuss the Phoenix Architecture: software designed to be replaced rather than maintained.

In this episode:
• why was the code written by Chad never longer than a page
• how he replaced 70% of a codebase in 3 months and cut costs by 75%
• shipping AI code no human ever reviewed, and how to make it safe
• the shadow specs your agents are making without you
• why your system should work with the worst LLM, not just the best

If you're still thinking about your codebase the old way, this one will change that.

Connect with us here:

Chad Fowler: https://www.linkedin.com/in/fowlerchad/
Blue Yard Capital: https://www.linkedin.com/company/blueyard-capital/
Guy Podjarny: https://uk.linkedin.com/in/guypo
Tessl: https://www.linkedin.com/company/tesslio/

We Scanned 3,984 Skills — 1 in 7 Can Hack Your Machine

Tue, 17 Mar 2026 13:00:00 +0000

Most developers install skills without reading what's inside them. But that's exactly what attackers are counting on.

Simon Maple sits down with Brian Vermeer from Snyk at DevNexus to get into the security risk hiding inside the skills and MCPs running on your local machine. They scanned over 4,000 skills and found that 1 in 7 had at least one critical security vulnerability.

Here’s what you need to know:

Why prompting your agent to write secure code doesn't make it secure
How a trusted skill can update silently and start offloading your credentials
What prompt injection actually looks like inside a skill file
Why vibe coding makes the attack surface bigger, not smaller
How the Snyk agent scan catches what you'd never spot manually

Every skill on the Tessl registry now has a Snyk security scan attached. Check before you install.

Connect with us here:
Simon Maple: https://www.linkedin.com/in/simonmaple/
Brian Vermeer: https://www.linkedin.com/in/brianvermeer/
Snyk: https://www.linkedin.com/company/snyk/
Tessl: https://www.linkedin.com/company/tesslio/

The Greatest Time to Build a Startup (The AI-Native Advantage)

Tue, 10 Mar 2026 13:00:00 +0000

The best agentic developers throw away their agent's work without guilt, run three agents at once and only use one, and treat their AI like a junior developer they genuinely dislike. It sounds wrong. It works.

Daniel Jones, Head of Product at re:cinq, has upskilled hundreds of developers across Northern Europe's largest enterprises. In this episode he joins Simon Maple to share the counterintuitive habits, hard data, and practical frameworks behind high-performing agentic development teams.

On the docket:

Why bad engineering practices get worse, not better, with AI agents
The exact conditions that make your agent hallucinate every time
Why your AGENTS.md is quietly working against you
How to manage context before it kills your productivity
What enterprise AI rollout actually looks like at scale
Why the worst managers get the most out of agentic coding

If your team is adding AI and wondering why things aren't getting faster, this episode is for you.

Connect with us here:
Daniel Jones: https://www.linkedin.com/in/danieljoneseb/
Simon Maple: https://www.linkedin.com/in/simonmaple/
Tessl: https://www.linkedin.com/company/tesslio/

Why Your Agent Needs Memory, Not Just Context

Tue, 03 Mar 2026 13:00:00 +0000

Not onboarding your agent is on you.

Richmond Alake, Director of AI Developer Experience at Oracle, joins Simon Maple to make the case that most agent failures come down to one thing: memory. Not the model, not the infrastructure. Memory.

On the docket:

why skills are just SOPs your organisation already has written down
the job title that is replacing prompt engineers
file systems vs databases for agent memory (and why one gets you hacked)
the memory trick that makes agents feel actually intelligent
why the agent loop and training loop are about to become one

The developers who figure this out first are going to be very hard to compete with.

Connect with us here:

Richmond Alake: https://www.linkedin.com/in/richmondalake/
Simon Maple: https://www.linkedin.com/in/simonmaple/
Tessl: https://www.linkedin.com/company/tesslio/

Cisco Principal Engineer's Fix for AI Code Security

Wed, 25 Feb 2026 08:00:00 +0000

Your AI coding agent learned from millions of lines of code, including insecure ones. That means by default, it can write vulnerable code too.

So how do you fix that?

John Groetzinger, Principal Engineer at Cisco, built CodeGuard, a security skills layer that teaches coding agents how to write and review code securely. He tested it against real scenarios.

The result:
84% success rate vs 47% baseline. Nearly 2× improvement.

In this episode we get into:

how CodeGuard works
why Cisco open sourced it
the surprisingly simple method that gets agents to fix their own mistakes

Try CodeGuard: cisco/software-security on the Tessl registry.

Connect with us here:
John Groetzinger: https://www.linkedin.com/in/john-groetzinger/
Cisco: https://www.linkedin.com/company/cisco/
Simon Maple: https://www.linkedin.com/in/simonmaple/
Tessl: https://www.linkedin.com/company/tesslio/

Why Context Beats Every Prompt You'll Ever Write

Tue, 17 Feb 2026 07:00:00 +0000

Most teams think agentic dev is about writing better prompts. It's not.

Guy Podjarny and Simon Maple explain why managing context, not crafting prompts, is what separates teams that scale with agents from teams that don't. They walk through a practical framework for building, evaluating, and distributing the context your agents actually need.

In this episode:
• Why agents fail without structured context about your internal platform
• The 3 context layers: policies, platform docs, and application context
• How to build regression evals and torture tests for your agents
• The Context Development Lifecycle (CDLC) - a new loop for agentic dev

Your agents are only as good as the context you give them.

From IBM Acquisition to AI-Native Observability | Dash0 CEO

Tue, 10 Feb 2026 12:00:00 +0000

"Charts are good for users, not good for agents. Agents look at the underlying data and do deep analysis."

Mirko Novakovic built Instana, sold it to IBM, and now he's building Dash0, rethinking observability for agents, not humans.

In conversation with Guy Podjarny, he explains:
• why OpenTelemetry turned out to be perfect for AI
• how UX changes when agents are your primary users
• why interactive collaboration beats static chat outputs
• the survival question for observability vendors in the AI era

Only 2-3 people in most companies can truly debug production. That knowledge lives in their heads and disappears when they leave. Mirko's betting agents will change that.

Connect with us here:
Mirko Novakovic: https://www.linkedin.com/in/mirkonovakovic/
Dash0: https://www.linkedin.com/company/dash0hq/
Guy Podjarny: https://www.linkedin.com/in/guypo/
Tessl: https://www.linkedin.com/company/tesslio/

The End of Fragmented Agent Context

Tue, 03 Feb 2026 17:00:00 +0000

One skill took coding success from 28% to 71%. Another made things worse.

Guy Podjarny and Simon Maple tested 1000+ agent skills and reveal which ones actually work, which hurt performance, and why anecdotal evidence isn't enough anymore.

Tessl Skills Registry is the first package manager for agent skills with built-in evaluations, versioning, and lifecycle management. Explore tested skills and see real performance data: https://tessl.io/registry

On the docket:
• Claude roasted Anthropic's own skill with a 27% score ("monolithic wall of text")
• Why some popular skills actually decrease agent performance
• How Tessl is bringing package managers and evals to agent skills

Whether you're creating your first skill or managing them across your dev team, this is your roadmap for making agent skills actually work.

Connect with us here:
1. Guy Podjarny - https://www.linkedin.com/in/guypo/?originalSubdomain=uk
2. Simon Maple - https://www.linkedin.com/in/simonmaple/
3. Tessl - https://www.linkedin.com/company/tesslio/
4. AI Native Dev - https://www.linkedin.com/showcase/ai-native-dev/

The Developer Skills That Will Actually Survive AI

Tue, 27 Jan 2026 12:00:00 +0000

“You have to prioritize between the thing you want to do and the thing that actually is driving the business, that’s what really big companies are fighting every single day.”

As former CEO of GitHub and now a startup founder again, Thomas Dohmke brings a rare, inside-out perspective on innovation across both worlds.

In conversation with Guy Podjarny, he explains:
• why startups and incumbents fight in different weight classes
• why humans shouldn’t sit in every feedback loop as agents scale
• the importance of learning as a core skill for future developers

AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI. Tune in as we engage with engineers, founders, and open-source innovators to talk all things AI, security, and development.

Connect with us here:
1. Thomas Dohmke- https://www.linkedin.com/in/ashtom/
2. Guy Podjarny- https://www.linkedin.com/in/guypo/
3. Tessl- https://www.linkedin.com/company/tesslio/
4. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/

How Too Much Information Destroys Agent Performance

Tue, 20 Jan 2026 13:00:00 +0000

Most AI agents fail because you're using them wrong. Here’s what actually works in production.

In this episode, Simon Maple sits down with Itamar Friedman (CEO of Qodo) and Robert Brennan (CEO of OpenHands) at QCon AI. They pull back the curtain on why agents hallucinate, provide inconsistent answers, and ship low-quality code.

On the docket:
• Why a third of developer-reported AI output is incorrect
• Why you must separate creative coding agents from structured review agents
• How excessive information destroys agent performance
• Parallelizing agents across 1,000+ repositories to resolve CVEs and legacy debt

Recorded live at QCon, this one's straight from architects building the future of the AI-native dev cycle.

Connect with us here:
Itamar Friedman: https://www.linkedin.com/in/itamarf/
Robert Brennan: https://www.linkedin.com/in/robert-a-brennan/
Simon Maple: https://www.linkedin.com/in/simonmaple/
Tessl: https://www.linkedin.com/company/tesslio/
AI Native Dev: https://www.linkedin.com/showcase/ai-native-dev/

Check out the Qcon Batch one: https://youtu.be/OnM7sWLnAfw?si=mxtM_jdQJ_EdpLXt

Intelligence ≠ Knowledge: Why Context Beats Bigger Models

Tue, 13 Jan 2026 13:00:00 +0000

In this special milestone episode, Simon Maple and Guy Podjarny celebrate 1 million views by looking back at the chaos of 2025 and forecasting the high-stakes reality of 2026.

On the docket:
• Why appearing on this show has become a leading indicator for getting acquired or raising billions (and whether Simon should start charging a 2% carry).
• The end of prompt engineering and the rise of context as the ultimate competitive advantage.
• Our boldest 2026 predictions, including open models taking enterprise share and AI coding going truly multiplayer.

Whether you're building a solo unicorn or leading an enterprise team, this is your roadmap for staying ahead of the 2026 AI curve.

Check out the discussed EPs:
Olivier Pomel: https://youtu.be/-5N53Xq5DX4?si=f8hFrjtO4eZQ4sYJ
Macey Baker: https://youtu.be/ENL9WJ93fVU?si=ffDkY4OYxVxKlCOc
Maksim Shaposhnikov: https://youtu.be/BQbuAykmleQ?si=u_dDLkNKNgCq10ax
Yaniv Aknin: https://youtu.be/WjMy0JFTQZ0?si=yoFbEvoWhsIicetw
Merrill Lutsky: https://youtu.be/kH_Z_k6hIwg?si=-4R1Yv45pRO2LcKq
Samuel Messing (Slack): https://youtu.be/jCVvVVXcxbQ?si=o004uK9g6xIKxiMp
Maor Shlomo (Base44): https://youtu.be/TKrXyZr6UgM?si=c-WXIzqDHbl9bW4d
Quinn Slack (Sourcegraph): https://youtu.be/ZTLSMN8eISs?si=1WtChQh6UTvoFcbJ
Mati Staniszewski: https://youtu.be/ImknDhWdDkQ?si=3C-3vWpvou-0pAuU
Victor Riparbelli: https://youtu.be/5OS3pZ3yXrg?si=AB8v10U80zyUpv3p

Resources:
Cursor acquiring Graphite: https://graphite.com/blog/graphite-joins-cursor
Wix acquiring Base44: https://techcrunch.com/2025/06/18/6-month-old-solo-owned-vibe-coder-base44-sells-to-wix-for-80m-cash/
Amp: https://ampcode.com/free
Kilo Code: https://kilo.ai/
Groq: https://groq.com/newsroom/groq-and-nvidia-enter-non-exclusive-inference-technology-licensing-agreement-to-accelerate-ai-inference-at-global-scale

What AI Engineering Looks Like at Meta, Coinbase, ServiceTitan and ThoughtWorks

Tue, 06 Jan 2026 13:00:00 +0000

What does it take to make AI work inside engineering teams?

This high-stakes compilation episode with Ian Thomas (Meta), Wesley Reisz (ThoughtWorks), Sepehr Khosravi (Coinbase), and David Stein (ServiceTitan) goes inside the engineering rooms of the world's most sophisticated tech organisations to uncover how they're moving past AI hype into AI-native production.

On the docket:
• How Meta achieved 80% weekly AI adoption through grassroots community building instead of top-down mandates
• Why ThoughtWorks uses the RIPPER-5 framework to structure AI workflows and prevent agents from jumping straight to code
• When Coinbase engineers use Cursor versus Claude Code and why sub-agents are critical for managing context without bloat
• How ServiceTitan migrated 247 legacy metrics in three weeks using self-healing validation loops and standardized agent tasks

If you're trying to make AI useful inside your team, this episode shows exactly what matters.

Connect with us here:

Ian Thomas: https://www.linkedin.com/in/anatomic/?originalSubdomain=uk
Wesley Reisz: https://www.linkedin.com/in/wesreisz/
Sepehr Khosravi: https://www.linkedin.com/in/sepehrkhosravi/
David Stein: https://www.linkedin.com/in/steindavidj/
Simon Maple: https://www.linkedin.com/in/simonmaple/
Tessl: https://www.linkedin.com/company/tesslio/
AI Native Dev: https://www.linkedin.com/showcase/ai-native-dev/

Resources:

AI Scouts - https://aiscouts.org/
Thoughtworks’ knowledge base insights - https://www.thoughtworks.com/en-sg/insights/blog/generative-ai/deep-kernel-level-AI-RCA-with-MCP
Check out Birgitta Böckeler’s full EP - https://youtu.be/uYmSco0s6Xo?si=FIK293aJXu3sxvt6
Cursor’s community forum - https://forum.cursor.com/t/i-created-an-amazing-mode-called-riper-5-mode-fixes-claude-3-7-drastically/

What Developers Need To Know About Agents Before 2026

Tue, 30 Dec 2025 17:00:00 +0000

2025 changed what it means to be a developer.

And 2026 is about to change even more.

This Tessl episode brings a year-end reflection on how agents reshaped software development and what developers need to unlearn next, featuring Reuven Cohen, Founder of the Agentic Foundation, Maor Shlomo, Founder of Base44, and Maksim Shaposhnikov, Technical Member at Tessl.

On the docket:
• Reuven Cohen on why most agent systems fail and what agentic engineering demands
• Maor Shlomo on where vibe coding works, where it breaks, and how guardrails protect long-term software
• Maksim Shaposhnikov on developer autonomy, IDE vs terminal agents, and designing for delegation

This episode looks ahead to 2026 and examines the systems developers will be responsible for next.

Connect with us here:
1. Reuven Cohen: https://www.linkedin.com/in/reuvencohen/?originalSubdomain=ca
2. Maor Shlomo: https://www.linkedin.com/in/maor-shlomo-1088b4144/?originalSubdomain=il
3. Maksim Shaposhnikov: https://www.linkedin.com/in/maxshapp/?originalSubdomain=uk
4. Simon Maple- https://www.linkedin.com/in/simonmaple/
5. Tessl- https://www.linkedin.com/company/tesslio/
6. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/

Why Faster AI Development Often Increases Rework | Cian Clarke

Tue, 23 Dec 2025 13:00:00 +0000

Vibe coding is only good at creating a sense of progress for devs.

In this episode of AI Native Dev, Cian Clarke, head of AI at Nearform, joins Simon Maple to talk about BMAD, their spec-driven approach that prioritizes clarity before code over prompt first development.

They also get into:
• speed upfront vs. maintainability over time
• why senior engineers gain leverage as junior pathways narrow
• the cultural shift needed to scale AI-generated software beyond solo builders

AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI. Tune in as we engage with engineers, founders, and open-source innovators to talk all things AI, security, and development.

Connect with us here:
1. Cian Clarke- https://www.linkedin.com/in/cianclarke/
2. Simon Maple- https://www.linkedin.com/in/simonmaple/
3. Tessl- https://www.linkedin.com/company/tesslio/
4. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/

Building an AI Agent in 100 Lines of Code | Yaniv Aknin

Tue, 16 Dec 2025 14:00:00 +0000

Before you add context, understand the context that’s already there.

In this episode, Yaniv Aknin, founding engineer at Tessl, explains the built in instructions that precede every user prompt, and why acknowledging that hidden layer is critical.

On the docket:
• why tool design matters more than raw reasoning ability
• how Codex does more with fewer tools
• how subagents let Claude stay flexible under context pressure
• why generalist models may adapt better to unfamiliar tools

AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI. Tune in as we engage with engineers, founders, and open-source innovators to talk all things AI, security, and development.

Connect with us here:
1. Yaniv Aknin- https://www.linkedin.com/in/yanivaknin/
2. Simon Maple- https://www.linkedin.com/in/simonmaple/
3. Tessl- https://www.linkedin.com/company/tesslio/
4. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/

How New Libraries Saw a 50% Improvement | Maria Gorinova

Tue, 09 Dec 2025 13:00:00 +0000

We’re holding probabilistic systems to deterministic standards.

In this episode of AI Native Dev, Simon Maple talks with Maria Gorinova, Member of Technical Staff at Tessl, about the mismatch between how developers expect software to behave, and how agents actually do.
• how structured context improves abstraction use
• why agent reliability can only be demonstrated through measurement
• how Tessl’s tiles improve reliability without bloating context

AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI. Tune in as we engage with engineers, founders, and open-source innovators to talk all things AI, security, and development.

Check out the article - https://tessl.io/blog/proposed-evaluation-framework-for-coding-agents/

Connect with us here:
1. Maria Gorinova- https://www.linkedin.com/in/mariagorinova/
2. Simon Maple- https://www.linkedin.com/in/simonmaple/
3. Tessl- https://www.linkedin.com/company/tesslio/
4. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/

Agent Experience Is the New Developer Experience | Sean Roberts

Wed, 03 Dec 2025 13:00:00 +0000

Your codebase already has AI contributors. If they don’t understand it, that’s on you.

In this segment from AI Native DevCon, Sean Roberts, VP of Applied AI at Netlify, explains why agent experience is, in fact, an extension of developer experience.

He also shares:

why hallucinations are what inference looks like when context is missing.
why knowledge graphs matter for large codebases.
using feedback loops to help agents learn from real deployments.
the downside of standardising on a single agent

What Holds Devs Back From Multi-Agent Thinking | Guy Podjarny

Wed, 26 Nov 2025 13:00:00 +0000

LLMs don’t get smarter when you dump everything into context, they get distracted.

At AI-Native DevCon, Guy Podjarny unpacks the evolution of AI augmented development, and how devs can get the most from current tools.

On the docket:
• how to help agents close the capability-reliability gap
• why 'context engineering is basically the same as specs.'
• why statistical measurement is the only meaningful way to judge agent reliability.
• how ‘tiles’ level inconsistent documentation across old and new libraries.

AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI. Tune in as we engage with engineers, founders, and open-source innovators to talk all things AI, security, and development.

Connect with us here:
1. Guy Podjarny- https://www.linkedin.com/in/guypo/
2. Simon Maple- https://www.linkedin.com/in/simonmaple/
3. Tessl- https://www.linkedin.com/company/tesslio/
4. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/

Join our AI Native Dev Community: https://discord.com/invite/jbb2vHnHZQ?utm_source=footer&utm_medium=tessl+website&utm_campaign=community

The Hidden Vulnerabilities Behind AI Code | René Brandel

Tue, 18 Nov 2025 13:00:00 +0000

If software can improve autonomously, why shouldn’t security?

On this episode of AI Native Dev, René Brandel, founder and CEO of Casco, explores how upfront specs enable reliable agent generated software, and how that same discipline drives Casco’s autonomous, continuously improving security.

On the docket:
• how small teams with self-improving agents can outperform large security orgs.
• why vibe coding is ideal for rapid prototyping and live customer iteration.
• what a practical, scalable specification format must solve for in real workflows.

Register now to AI Native DevCon - https://ainativedev.io/devcon

Connect with us here:
1. René Brandel - https://www.linkedin.com/in/renebrandel/
2. Simon Maple - https://www.linkedin.com/in/simonmaple/
3. Tessl - https://www.linkedin.com/company/tesslio/

What Developers Can Build Next With AI

Wed, 12 Nov 2025 15:00:00 +0000

In this compilation, Simon Maple brings together Baruch Sadogursky (TuxCare), Liran Tal (Snyk), Alex Gavrilescu (Greentube), and Josh Long (Broadcom) to break down where AI-assisted development fails, and what teams must do to keep it reliable.

On the docket:
• why spec-compiled tests must come before letting AI generate code
• the uncertainty around what “AI security engineering” actually means today
• how Backlog.md stays minimal so agents can split work autonomously
• how Spring shows AI plugging straight into the business logic companies already run on Spring microservices

Register now to AI Native DevCon

Connect with us here:
Baruch Sadogursky- https://www.linkedin.com/in/jbaruch/
Liran Tal- https://www.linkedin.com/in/talliran/
Alex Gavrilescu- https://www.linkedin.com/in/alexandrugavrilescu/
Josh Long- https://www.linkedin.com/in/joshlong/
Simon Maple - https://www.linkedin.com/in/simonmaple/
Tessl - https://www.linkedin.com/company/tesslio/

Claude, TypingMind, AMP & MCP Servers: The Future Dev

Mon, 03 Nov 2025 19:00:00 +0000

How do you give an agent the same visibility a human developer has, without giving it full control?

Alan Pope, Senior Developer Advocate at Tessl, explains how Model Context Protocols (MCPs) give AI agents structured access to dev environments, enabling tools like Claude Code and TypingMind to read, build, and execute safely under human oversight.

On the docket:
• how MCPs enable hybrid collaboration, letting agents take controlled actions inside local environments while surfacing every change for review
• the era of “vibe coding” is fading, with developers moving towards intentional, spec-driven prompting for precise results
• outdated or abandoned MCPs are turning into hidden liabilities
• how developers are uploading personal knowledge bases to let AI generate content that matches their authentic tone and style

AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI. Tune in as we engage with engineers, founders, and open-source innovators to talk all things AI, security, and development.

Register now to AI Native DevCon - ainativedev.io/devcon

Connect with us here:
1. Alan Pope- https://www.linkedin.com/in/alan-pope-uk/
2. Simon Maple- https://www.linkedin.com/in/simonmaple/
3. Tessl- https://www.linkedin.com/company/tesslio/

AI Agents Beyond Context Limits | Maksim Shaposhnikov

Tue, 28 Oct 2025 12:00:00 +0000

Bots follow scripts. Assistants wait for your commands. Agents act autonomously.

Maksim Shaposhnikov, AI Research Engineer at Tessl, joins Simon Maple to unpack the capabilities of AI coding agents, including how developers can test and trust the code they generate.

On the docket:
• how sub-agents operate independently, maintaining their own context windows to handle complex tasks without overloading the main agent.
• why human-in-the-loop oversight is still essential, even as agents can autonomously generate prototypes and fix bugs.
• predictions for the next generation of agents, including self-correcting feedback loops and improved code quality over time.

Register now to AI Native DevCon - ainativedev.io/devcon

Connect with us here:
1. Maksim Shaposhnikov - https://www.linkedin.com/in/maxshapp/
2. Simon Maple - https://www.linkedin.com/in/simonmaple/
3. Tessl - https://www.linkedin.com/company/tesslio/

Instant PR Feedback Without leaving GitHub | Merrill Lutsky on Graphite

Tue, 21 Oct 2025 13:00:00 +0100

As AI outpaces human review, latency compounds.

On AI Native Dev, Graphite co-founder and CEO, Merrill Lutsky joins Guy Podjarny to explore how stack aware reviews remove friction and accelerate AI-native development.

They also get into:
• how Graphite’s architecture ensures traceability across AI generated commits
• what engineering velocity means when code quality depends on alignment
• why the next generation of developers will act more like managers of autonomous dev teams than individual contributors

AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI. Tune in as we engage with engineers, founders, and open-source innovators to talk all things AI, security, and development.

Register now to AI Native DevCon - ainativedev.io/devcon

Connect with us here:
1. Merrill Lutsky- https://www.linkedin.com/in/merrill-lutsky/
2. Guy Podjarny- https://www.linkedin.com/in/guypo/
3. Tessl- https://www.linkedin.com/company/tesslio/
4. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/

AI-First Project Management for Developers | Alex Gavrilescu on Backlog.md

Tue, 14 Oct 2025 13:00:00 +0100

Even the smartest AI agent starts as a blank slate.

Alexandru Gavrilescu, creator of Backlog.md, and Simon Maple explore how to give AI the right context and specifications so it can deliver like a human teammate, and sometimes faster.

On the docket:
• why humans still matter for review, but AI can accelerate work beyond traditional sprints
• the rise of persistent agents that proactively manage tasks and subagents
• preparing for a world of disposable, single-use software and continuous development loops
• why current Agile metrics and bandwidth estimates need a major rethink

AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI. Tune in as we engage with engineers, founders, and open-source innovators to talk all things AI, security, and development.

Connect with us here:
1. Alexandru Gavrilescu- https://www.linkedin.com/in/alexandrugavrilescu/
2. Simon Maple- https://www.linkedin.com/in/simonmaple/
3. Tessl- https://www.linkedin.com/company/tesslio/

Redefining Developer Workflows in the AI Era with MCP | Steve Manuel

Tue, 07 Oct 2025 13:00:00 +0100

The risk of letting AI do more than autocomplete? It can quickly spin out of control.

On this episode of AI Native Dev, Steve Manuel, founder and CEO of Dylibso, unpacks MCP, the protocol that keeps AI extensions safe and predictable, and dives into mcp.run, his framework for tapping into shared MCP servers without losing control.

With Simon Maple he shares:
• why plugin-safe AI might be the most significant shift in developer tooling this decade
• how mcp.run isolates compute to prevent AI-driven code from being unpredictable, letting developers experiment without risk
• the practical and surprising ways web-connected agents expand what applications can do, from automating workflows to integrating new capabilities
• why first-party code remains essential even in an AI-native world

Connect with us here:
1. Steve Manuel- https://www.linkedin.com/in/stevemanuel/
2. Simon Maple- https://www.linkedin.com/in/simonmaple/
3. Tessl- https://www.linkedin.com/company/tesslio/

How Slack AI Agents Accelerate Dev Productivity | Samuel Messing

Tue, 30 Sep 2025 12:00:00 +0100

AI only becomes effective in workflows when it speaks the language of the enterprise.

In this episode of AI Native Dev, Simon Maple sits down with Samuel Messing, VP of Engineering for Search and AI at Slack, to explore how they are tackling one of AI’s toughest challenges: managing enterprise context at scale for 80% of the Fortune 100.

On the docket:
• why understanding context is critical for enterprise AI
• how Slack’s ‘AI Explain’ helps you make sense of information overload
• how to maintain high-quality work when things are changing fast
• why AI can only succeed if compliance and security are built in from the start

AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI. Tune in as we engage with engineers, founders, and open-source innovators to talk all things AI, security, and development.

Connect with us here:
1. Samuel Messing- https://www.linkedin.com/in/samuel-messing/
2. Simon Maple- https://www.linkedin.com/in/simonmaple/
3. Tessl- https://www.linkedin.com/company/tesslio/

Can Agentic Engineering Really Deliver Enterprise-Grade Code? | Reuven Cohen

Tue, 23 Sep 2025 13:00:00 +0100

What makes 2025 the “Year of the Agent”?

In this episode of AI Native Dev, Simon Maple joined Reuven Cohen, founder of the Agentics Foundation and creator of Claude Flow, to explore how agentic engineering went from a fringe experiment to a movement reshaping how developers build software.

On the docket:

• what makes “agentic engineering” a new profession, not just a buzzword

• how hive minds and swarms mirror nature’s most efficient systems

• why large companies are “AI-washing” agent tech

• the real tradeoffs between speed, quality, and cost in agent-based dev

• how community-driven foundations are hedging against trillion-dollar corporations

Connect with us here:

1. Reuven Cohen - https://www.linkedin.com/in/reuvencohen

2. Simon Maple - https://www.linkedin.com/in/simonmaple/

3. Tessl- https://www.linkedin.com/company/tesslio/

4. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/

Revolutionising Spec-Driven Development with Tessl’s Framework & Registry

Tue, 16 Sep 2025 13:00:00 +0100

Devs spend more time fixing agent mistakes than shipping features.

On this episode of AI Native Dev, Guy Podjarny, founder & CEO at Tessl, and Simon Maple, Head of Developer Relations, announce two new products, the Tessl Framework and the Tessl Spec Registry, built to make specs the source of truth, keeping agents aligned with intent and code dependable.

On the docket:
• Why agent development needs its own dependency system
• Using specs to create tests that validate agent outputs
• How Tessl’s 10,000 usage specs prevent agent mistakes with open-source
• Into Tessl’s concept of “vibe speccing”
• The long term bet on spec-centric software

AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI. Tune in as we engage with engineers, founders, and open-source innovators to talk all things AI, security, and development.

Connect with us here:
1. Guy Podjarny- https://www.linkedin.com/in/guypo/
2. Simon Maple- https://www.linkedin.com/in/simonmaple/
3. Tessl- https://www.linkedin.com/company/tesslio/
4. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/

Join our AI Native Dev Community: https://discord.com/invite/jbb2vHnHZQ?utm_source=footer&utm_medium=tessl+website&utm_campaign=community

The Man Behind World’s Largest Dev Con | Stephan & Devoxx

Tue, 09 Sep 2025 13:00:00 +0100

Stephan Janssen, the mind behind Devoxx, calls this moment the “renaissance of development” and explains why AI-native workflows are rewriting what’s possible. On the docket:

• how vibe coding cut months of setup and build into days
• why “spec to code” loops beat pure prompting every time
• what juniors gain from a universal AI tutor
• why agents are the big theme for Devoxx Belgium 2025 AI Native Dev,

AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI. Tune in as we engage with engineers, founders, and open-source innovators to talk all things AI, security, and development.

Connect with us here:
1. Stephan Janssen - https://www.linkedin.com/in/stephanjanssen/
2. Simon Maple - https://www.linkedin.com/in/simonmaple/
3. Tessl- https://www.linkedin.com/company/tesslio/
4. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/

Is Your Team Ready for AI-Driven Modernization? | Birgitta Böckeler

Tue, 02 Sep 2025 13:00:00 +0100

What does it mean to be a developer when AI writes most of the code?

On this episode of AI Native Dev, Birgitta Böckeler, Distinguished Engineer at ThoughtWorks, joins Simon Maple to unpack how AI is changing legacy migrations, and why the real value comes from pairing LLMs with proven software engineering practices.

They also get into:
• why “AI alone” won’t solve legacy modernization
• how codemods and deterministic tools amplify AI creativity
• the reflex to rewrite vs. the discipline to refactor
• why developers need to evolve into managers of AI-driven workflows

AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI. Tune in as we engage with engineers, founders, and open-source innovators to talk about all things AI, security, and development.

Connect with us here:
1. Birgitta Böckeler - https://www.linkedin.com/in/birgittaboeckeler/
2. Simon - https://www.linkedin.com/in/simonmaple/
3. Tessl- https://www.linkedin.com/company/tesslio/
4. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/

Can AI Really Build Enterprise-Grade Software? | Maor Shlomo & Base44

Tue, 26 Aug 2025 13:00:00 +0100

AI coding is great for demos, but can it handle production apps?

On this episode of AI Native Dev, Maor Shlomo, founder of Base44, joins Guy Podjarny to share how he built one of the first “batteries-included” AI app builders and what it reveals about building real software in the age of LLMs.

They dive into:
• why less complexity helps LLMs perform
• how Base44 ships apps with databases and integrations built in
• what smaller, high-context teams can do that big ones can’t
• the path from vibe coding to agentic applications

AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI. Tune in as we engage with engineers, founders, and open-source innovators to talk about all things AI, security, and development.

Connect with us here:
1. Maor Shlomo - https://www.linkedin.com/in/maor-shlomo-1088b4144/
2. Guy Podjarny - https://www.linkedin.com/in/guypo/
3. Tessl- https://www.linkedin.com/company/tesslio/
4. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/

Transforming Dev Practices with Kiro’s Spec-Driven Tools | Nikhil and Richard

Tue, 19 Aug 2025 13:00:00 +0100

Rapid prototyping is fun, but maintaining it? Not so much.

In this episode, Simon Maple is joined by Nikhil Swaminathan, Head of Product and Richard Threlkeld, Principal Engineer at Kiro IDE (AWS), to discuss how spec-driven development moves the focus from writing code to understanding and communicating system behavior, building software that is easy to understand so that developers can maintain code without losing clarity.

They also explore:
• Kiro’s philosophy on spec-driven development
• why specs must be composable documents
• how specs enable better review and reasoning around refactors

AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI. Tune in as we engage with engineers, founders, and open-source innovators to talk about all things AI, security, and development.

Connect with us here:
1. Richard Threlkeld- https://www.linkedin.com/in/richard-threlkeld-ba31aa1/
2. Nikhil Swaminathan- https://www.linkedin.com/in/nikhilswaminathan/
3. Simon Maple- https://www.linkedin.com/in/simonmaple/
4. Tessl- https://www.linkedin.com/company/tesslio/
5. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/

Transforming Debugging and Root Cause Detection with Sentry | David Cramer

Tue, 12 Aug 2025 13:00:00 +0100

On this episode of AI Native Dev, David Cramer, co-founder of Sentry, joins Guy Podjarny to talk about what it really takes to ship faster with LLMs built into the workflow, and why over 4 million devs rely on Sentry to do it right.

On the docket:
• how Sentry’s moat is built on deeply interconnected app data
• why David prefers Cursor over Claude
• how a cynical mindset kills AI adoption before it begins

AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI. Tune in as we engage with engineers, founders, and open-source innovators to talk all things AI, security, and development.

Connect with us here:
1. David Cramer- https://www.linkedin.com/in/dmcramer/
2. Guy Podjarny- https://www.linkedin.com/in/guypo/
3. Tessl- https://www.linkedin.com/company/tesslio/
4. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/

Why Tracking AI Usage Drives Better Results | Justin Reock & DX

Tue, 05 Aug 2025 13:00:00 +0100

With AI adoption surging across orgs, Justin Reock, CTO at DX, joins Simon Maple to break down the difference between meaningful integration and just chasing trends.

They also get into:
• two levers of velocity: quality and maintainability.
• why measuring real AI impact starts with knowing who’s using it and how
• how AI supercharges developer productivity across the SDLC

AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI. Tune in as we engage with engineers, founders, and open-source innovators to talk all things AI, security, and development.

Curated Resource of the Week:
https://ainativedev.co/1ij

Connect with us here:
1. Justin Reock- https://www.linkedin.com/in/justinreock/
2. Simon Maple- https://www.linkedin.com/in/simonmaple/
3. Tessl- https://www.linkedin.com/company/tesslio/
4. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/

What Next Gen AI Infra, Voice and Video Looks Like | Datadog, Eleven Labs and Synthesia

Tue, 29 Jul 2025 13:00:00 +0100

In this compilation, Olivier Pomel (Datadog), Mati Staniszewski (ElevenLabs), and Victor Riparbelli (Synthesia) join Guy Podjarny to unpack what it takes to build category defining products in the AI native era.

On the docket:
• why root cause detection felt like sci-fi a few years ago, and what’s changed
• the early challenges ElevenLabs faced as an audio first AI company
• how Synthesia got Mark Cuban to invest in them

AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI. Tune in as we engage with engineers, founders, and open-source innovators to talk all things AI, security, and development.

Connect with us here:
1. Olivier Pomel- https://www.linkedin.com/in/olivierpomel/
2. Mati Staniszewski- https://www.linkedin.com/in/matiii/
3. Victor Riparbelli- https://www.linkedin.com/in/victorriparbelli/
4. Guy Podjarny- https://www.linkedin.com/in/guypo/
5. Tessl- https://www.linkedin.com/company/tesslio/
6. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/

What If Fixing Code Wasn’t Your Job Anymore? | Jonathan Schneider & Moderne

Tue, 22 Jul 2025 13:00:00 +0100

Jonathan Schneider, co-founder and CEO of Moderne, joins Simon Maple to share how real engineering teams are using Moderne’s rewrite engine to reduce technical debt at the source, and drive org-wide transformation.

On the docket:

the hard limit LLMs can’t scale past
why OpenRewrite uses a declarative framework
the real challenge: accessing the compiler’s truth

Why AI Coding Agents Are Here To Stay | Patrick Debois

Tue, 15 Jul 2025 13:00:00 +0100

Patrick Debois, the mind behind “DevOps,” joins Simon Maple to unpack the system-level shifts AI is driving across software engineering, drawn from what he saw firsthand at the AI Engineer’s World Fair.

They also get into:
• how inconsistent codebases confuse AI
• why running agents locally is becoming obsolete
• inside OpenAI’s concept of “model specs”

AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI. Tune in as we engage with engineers, founders, and open-source innovators to talk all things AI, security, and development.

Read Patrick Debois’s full article here: https://ainativedev.co/0p3

Connect with us here:
1. Patrick Debois- https://www.linkedin.com/in/patrickdebois/
2. Simon Maple- https://www.linkedin.com/in/simonmaple/
3. Tessl- https://www.linkedin.com/company/tesslio/
4. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/

(00:00) Trailer
(01:03) Introduction
(02:57) AI Engineering World Fair: Conference Overview
(07:38) Seven Key Lessons from the Fair
(08:51) AI Coding Agents Everywhere
(11:14) Evolving AI Dev Tool Practices
(12:23) Specs as the New Code
(15:00) Agents Running in the Cloud
(24:00) Parallel Agent Execution
(36:58) CI/CD Shifting Left
(40:55) AI Productivity Multipliers
(47:15) Outro

The Graph Layer Behind NASA’s Breakthroughs | Michael Hunger

Tue, 08 Jul 2025 13:00:00 +0100

Michael Hunger of Neo4j, joins Simon Maple to unpack how graph databases inject structure, intent, and traceability into modern AI systems.

On the docket:

why relationships in data encode intent
the black-box problem in vector based RAG
why devs should build their own MCP server

Michael Hunger- https://www.linkedin.com/in/jexpde/
Simon Maple- https://www.linkedin.com/in/simonmaple/
Tessl- https://www.linkedin.com/company/tesslio/
AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/

(00:00) Trailer
(01:03) Introduction & Neo4j Origins
(03:02) Persisting Relationships for High-Performance Queries
(04:00) Modeling Business Intent & Key Use Cases
(05:00) Fraud Detection at Scale with Graph Algorithms
(06:11) Graph-Enhanced RAG vs. Vector-Only Retrieval
(09:02) Explainability & Drill-Down Evaluation in RAG
(13:05) Fusing Structured & Unstructured Data for Context
(15:00) MCP for Developer Productivity: Schema-to-Code & API Wrapping
(21:16) Security & Sandboxing Best Practices for MCP
(29:08) MCP Server Recommendations & Outro

The Missing Gap In Workflows For AI Devs | Baruch Sadogursky

Tue, 01 Jul 2025 13:00:00 +0100

Baruch Sadogursky, Head of Developer Relations at TuxCare, joins Simon Maple to explore why automated integrity needs to be built in before we rely on AI outputs.

On the docket:

the difference between specs and tests
why PMs sidelined specs
the "intent-integrity gap" between human goals and LLM outputs
the non-determinism of LLMs as a feature, not a flaw
Baruch’s belief: devs are not going anywhere

Why LLMs Keep Missing This One Thing | Jason Ganz

Tue, 24 Jun 2025 13:00:00 +0100

Can LLMs replace structured systems to scale enterprises?

Jason Ganz, Senior Manager DX at dbt Labs, joins Simon Maple to unpack why, despite the rapid rise of AI systems, enterprises still rely on structured data for consistency and reliable decision making.

They also discuss:

the invisible edge cases LLMs can’t see
difference between software engineering and data engineering in AI
the mismatch between AI output and business logic
what the data engineer of the future actually does

AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI. Tune in as we engage with engineers, founders, and open-source innovators to talk all things AI, security, and development.

Connect with us here:
1. Jason Ganz (LinkedIn)- https://www.linkedin.com/in/jasnonaz/
2. Jason Ganz (X)- https://x.com/jasnonaz
3. dbt Labs- https://www.getdbt.com/
4. dbt Fusion engine- https://www.getdbt.com/product/fusion
5. dbt Community- https://www.getdbt.com/community
6. Simon Maple- https://www.linkedin.com/in/simonmaple/
7. Tessl- https://www.linkedin.com/company/tesslio/
8. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/

00:00 Trailer
01:01 Introduction
01:41 dbt Labs
04:39 Data engineers
07:39 LLMs understanding
13:15 AI isn’t as lazy as humans
15:29 Problem: the scaffolding to get data
17:38 Best contextual results
19:40 Dealing with security
25:00 Structured data
27:37 Problems with LLMs and data
29:47 Exact numbers
32:10 Hallucinations
34:28 Human validation
36:20 MCP servers
39:09 UX bottlenecks
42:27 Quality of data
44:00 The future of data engineers
47:02 getdbt.com
48:09 Outro

CTO of $7B Snyk Talks AI Security, Risky Software & Enterprise Adoption

Tue, 17 Jun 2025 13:00:00 +0100

In this episode of AI Native Dev, Guy Podjarny and Danny Allan unpack how security has reduced just to a concern from a roadblock for devs.

On the docket:

why 80% of Snyk’s enterprise customers are actively using AI tools
navigating security risks of today and tomorrow
the recurring flaw in every new stack
why more code means more vulnerabilities

Danny Allan- https://www.linkedin.com/in/dannyallan/
Guy Podjarny- https://www.linkedin.com/in/guypo/
Tessl- https://www.linkedin.com/company/tesslio/
AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/

The $2B Nvidia Backed AI Video Platform

Tue, 10 Jun 2025 13:00:00 +0100

In this episode of AI Native Dev, Guy Podjarny is joined by Victor Riparbelli, Co-founder and CEO of Synthesia, who is leading the charge towards AI driven video that lets anyone become a video creation pro with no prior field experience.

On the docket:

• how Synthesia enables full video editability even after generation
• Victor’s vision for fully coded videos that enable personalized, customizable viewing
• Victor’s belief that future generations will prefer visuals over any kind of text

AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI. Tune in as we engage with engineers, founders, and open-source innovators to talk all things AI, security, and development.

Connect with us here:

1. Victor Riparbelli- https://www.linkedin.com/in/victorriparbelli/
2. Guy Podjarny- https://www.linkedin.com/in/guypo/
3. Tessl- https://www.linkedin.com/company/tesslio/
4. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/

Why the Top 1% of Devs Love IntelliJ | Anton Arhipov

Tue, 03 Jun 2025 08:00:00 +0100

From early IntelliJ user to JetBrains advocate, Anton Arhipov continues his conversation with Simon Maple and Baptiste Fernandez on AI Native Dev, tracing his journey through tools, trends, and the changing face of developer experience.

On the docket:

• how IntelliJ responds to new tools in the market
• understanding the pros and cons of tab-driven development for devs
• why tools will need to get better in PR workflows
• ZeroTurnaround’s Java reloading that ended JVM restarts
• the four must-know IntelliJ plugins for every developer

AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI. Tune in as we engage with engineers, founders, and open-source innovators to talk all things AI, security, and development.

Connect with us here:

1. Anton Arhipov- https://www.linkedin.com/in/antonarhipov/
2. Simon Maple- https://www.linkedin.com/in/simonmaple/
3. Baptiste Fernandez - https://www.linkedin.com/in/baptiste-fernandez-0a958630/
4. Tessl- https://www.linkedin.com/company/tesslio/
5. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/

How This Broadcom Dev Uses Spring to Power AI Workflows | Josh Long

Tue, 27 May 2025 13:00:00 +0100

What happens when the OG Spring Dev, Josh Long, teams up with Simon Maple on AI Native Dev?

You get a front row seat to them building a Spring powered app that showcases the future of AI integration.

While building the app, they discuss:

why developers are adopting Spring AI
how Spring is becoming the go-to for AI engineering
why companies route users from humans to IVRs
understanding model context protocol

Josh Long- https://www.linkedin.com/in/joshlong/
Simon Maple- https://www.linkedin.com/in/simonmaple/
Tessl- https://www.linkedin.com/company/tesslio/
AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/

One CEO’s Plan to Rebuild How We Deploy AI | Ron Eforni & Flox

Tue, 20 May 2025 13:00:00 +0100

In this episode, our founder and CEO, Guy Podjarny speaks with Ron Efroni, CEO of Flox and President of the NixOS Foundation, about advancing AI from experimental phases to robust, production-ready environments.

Flox optimizes reproducible environments, Nix provides the foundation, and Ron Efroni is uniting them to scale enterprise development.

On the docket:

the value proposition of using "environment as code"
exploring a future of specialized AI agents in a connected ecosystem.
grasping how to layer MCP over environments, and
AI to be more deterministic, or should we adapt to it?

About Us:

AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI. Tune in as we engage with engineers, founders, and open-source innovators to talk all things AI, security, and development.

Connect with us here:

Ron Efroni- https://www.linkedin.com/in/ronefroni/
Guy Podjarny- https://www.linkedin.com/in/guypo/
Tessl- https://www.linkedin.com/company/tesslio/
AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/

Vibe Coding SimCity II: Injecting Chaos with Natural Disasters and AI Tools

Wed, 14 May 2025 14:00:00 +0100

Simon Maple and Joe Holdcroft swap their AI-generated apps and put Cursor and Windsurf to the test by adding natural disasters like earthquakes and lightning strikes. Discover how AI coding tools handle randomness, spreading effects, animation, and bugs—plus the devs’ thoughts on debugging AI-generated code.

Subscribe for deep dives into modern dev workflows and AI-powered coding experiments.

Watch the episode on YouTube: https://youtu.be/dzXGY8YUx-8

Vibe Coding SimCity: Prototyping Tiny Towns with AI Dev Tools

Tue, 06 May 2025 17:00:00 +0100

In this hands-on episode of AI Native Dev, Simon Maple and Joe Holdcroft go head-to-head in a “vibe coding relay” challenge—building a tiny town simulator from scratch using AI-powered dev tools BASE44 and Bolt.new. With only 10 minutes, vague prompts, and no prep, they put these rapid-prototyping tools to the test. Simon leans into SimCity nostalgia while Joe battles ghost-town bugs and infinite money glitches. Hosted by Macey Baker, the episode dives deep into AI-assisted UI generation, event simulation, and how far these tools can really go with minimal human input. Part 2 continues next week with Cursor and Windsurf as Simon and Joe swap codebases to iterate on each other’s AI-born towns.

Exploring LLM Observability with Traceloop's Gal Kleinman

Tue, 29 Apr 2025 14:00:00 +0100

In this episode, Simon Maple converses with Gal Kleinman, co-founder of Traceloop, to delve into the realm of LLM observability. Kleinman shares his expertise on constructing evaluation suites and overcoming the challenges associated with LLM applications. Learn about innovative solutions like Open LLMetry and gain insights into best practices for maintaining robust observability systems.

Subscribe to the AI Native Developer podcast for more insights on AI and development.

Watch the episode on YouTube: https://youtu.be/TD-wjNStTVM

Check out Traceloop: https://www.traceloop.com/

From Builder to Orchestrator—Confronting the Software Engineer’s Identity Crisis

Tue, 22 Apr 2025 14:00:00 +0100

In this episode, host Simon Maple engages in a compelling discussion with Annie Vella, a skilled software engineer and manager, about the integration of AI into software development. Annie shares her insights on how AI tools are reshaping coding practices, the challenges engineers face in transitioning to management roles, and the skills required to thrive in this evolving landscape. This episode is crucial for anyone looking to understand the implications of AI in their work.

Subscribe to the AI Native Developer podcast for more insights on AI and development.

Watch the episode on YouTube: https://youtu.be/GI2ywMl2gQk

Read Annie's blog: https://annievella.com/posts/the-software-engineering-identity-crisis/

Is Code Dead & The $1B Solo Startup Myth - 5 AI Realities with Tessl's Guy Podjarny

Tue, 15 Apr 2025 14:00:00 +0100

In this episode, Guy Podjarny sits down with Tom Hulme to discuss the transformative shift from a code-centric to a spec-centric approach in software development. They explore the advantages of cloud-native practices, the evolving tool ecosystem, and the future role of AI and LLMs. Gain expert insights into the trends that are shaping the future of the industry.

Subscribe to the AI Native Developer podcast for more insights on AI and development!

Watch the episode on YouTube: https://youtu.be/reU8W2aH30Y

Read the GV Event Blog: gv.com/news/five-ai-realities-with-tessl-guy-podjarny

AI's Transformative Impact on Development with Alex Komorske

Wed, 09 Apr 2025 14:00:00 +0100

In this episode, Alex Komoroske delves into the transformative role of AI in the tech industry. As an expert in web platform development, Alex discusses AI's potential to redefine technology and creativity. Gain insights into how AI serves as a disruptive innovation and explore its implications for developers.

Subscribe to the AI Native Developer podcast for more insights on AI and development!

Watch the episode on YouTube: https://youtu.be/utzvGealvrE

Datadog CEO Olivier Pomel on AI Security, Trust, and the Future of Observability

Tue, 01 Apr 2025 14:00:00 +0100

Join Guy Podjarny as he hosts Olivier Pomel, CEO of Datadog, in a compelling discussion on the evolution of observability and AI's role in modern technology. Olivier offers his expertise on AI-powered applications, the security challenges they face, and the future of AI interactions. This episode provides crucial insights for tech professionals and developers seeking to understand AI's impact on cloud computing and security.

Subscribe to the AI Native Developer podcast for more insights on AI and development!

Watch the episode on YouTube: https://youtu.be/-5N53Xq5DX4

Intent-Driven Development: Insights from Patrick Debois

Wed, 26 Mar 2025 14:00:00 +0000

In this episode of the Tessl podcast, hosts Patrick Debois and Simon Maple explore the transformative landscape of software development practices. Join them as they discuss emerging patterns that are reshaping the industry. Patrick, a DevOps pioneer, shares valuable insights on aligning development work with business intents, while Simon brings his expertise in Java, cloud computing, and AI integration in software to the table. This engaging discussion is a must-listen for anyone interested in the future of development.

What You'll Learn:

Identify emerging patterns in software development that enhance decision-making.
Shift your focus from implementation to understanding business intent for more meaningful outcomes.
Utilize spec centricity to create clearer specifications that bridge technical and non-technical teams.
Leverage the right tools to facilitate innovative practices and improve productivity.
Recognize the significance of clean data in enhancing software requirements and decision-making.

This episode is perfect for developers, project managers, and anyone in the tech field looking to stay ahead of the curve in evolving development practices. It's an invaluable resource for those seeking to understand how to better align their work with business goals and improve collaboration across teams.

💡 What are your thoughts on the future of development practices? Join the conversation and share your insights in the comments! 👇

Watch the episode on YouTube: https://youtu.be/kMRHuc36AK4

Blog post: https://ainativedev.io/news/the-4-patterns-of-ai-native-dev-overview

How Attackers Trick AI: Lessons from Gandalf’s Creator

Tue, 18 Mar 2025 14:00:00 +0000

🔒 How Secure is AI? Gandalf’s Creator Exposes the Risks 🔥

AI security is under attack, and hackers are finding new ways to manipulate AI systems. In this episode, Guy Podjarny sits down with Mateo Rojas-Carulla, co-founder of Lakera and creator of Gandalf, to break down the biggest threats facing AI today—from prompt injections and jailbreaks to data poisoning and agent manipulation.

What You’ll Learn:
- How attackers exploit AI vulnerabilities in real-world applications
- Why AI models struggle to separate instructions from external data
- How Gandalf’s 60M+ attack attempts revealed shocking insights
- What the Dynamic Security Utility Framework (DSEC) means for AI safety
- Why red teaming is critical for preventing AI disasters

Whether you’re a developer, security expert, or just curious about AI risks, this episode is packed with must-know insights on keeping AI safe in an evolving landscape.

💡 Can AI truly be secured? Or will attackers always find a way? Drop your thoughts in the comments! 👇

Watch the episode on YouTube: https://youtu.be/RKCvlJT_r4s

AI Gone Rogue? LLM Werewolf Showdown

Thu, 13 Mar 2025 08:00:00 +0000

What happens when AI learns to lie? In this electrifying episode of AI Native Dev, Simon Maple is joined by the brilliant Macey Baker, Community Engineer at Tessl, to unravel the wild, unpredictable, and sometimes downright hilarious world of Large Language Models (LLMs) in social deception games.

From the psychological mind games of Werewolf to the cutthroat negotiations of Split or Steal, Macey spills the details on how AI models like OpenAI’s GPT-4o, Anthropic’s Sonnet, Llama, and DeepSeek R1 navigate deception, trust, and ethics when the stakes are high. Can an AI manipulate, bluff, or betray? Which model is the sneakiest, and which one folds under pressure?

Prepare for shocking twists, unexpected strategies, and an eye-opening look at the ethical implications of AI in interactive gameplay. This is one episode you won’t want to miss—especially if you think you can outwit an AI!

Watch the episode on YouTube: https://youtu.be/9hVeVYlqyBc

Monthly Roundup: AI Model Wars, GPT-4.5 vs. Sonnet 3.7, and the Future of AI Dev Tools

Mon, 10 Mar 2025 17:00:00 +0000

In this episode, Guy and Simon dive deep into February’s wave of AI model releases, focusing heavily on the showdown between OpenAI’s GPT-4.5 and Anthropic’s Sonnet 3.7. They discuss GPT-4.5's move toward higher emotional intelligence (EQ), how it compares with Claude, and whether it’s actually meeting developers' expectations—or falling short.

Anthropic’s introduction of dynamic reasoning with Sonnet 3.7 gets special attention as Guy and Simon explore what this new feature means practically for developers, referencing Bolt.new’s recent implementation as an example. They also weigh the strategic choices these AI labs face—when to build tools themselves and when to act purely as platforms—highlighting the delicate balance companies like Anthropic and ElevenLabs must strike.

The conversation also covers practical developer workflows, featuring insights from recent interviews with Farhath, who leverages multiple AI dev tools simultaneously, and Mati from ElevenLabs, who shares how his company navigates scaling and research while remaining nimble.

Finally, Guy and Simon announce AI Native Dev Con: Spring 2025, and hint at exciting upcoming episodes, rounding out a packed discussion that goes straight to the heart of what matters for AI-native developers today.

Watch the episode on YouTube: https://youtu.be/kjAs_isf-Vs

The Future of Audio AI: Insights from Mati Staniszewski of ElevenLabs

Thu, 27 Feb 2025 12:00:00 +0000

In this episode of AI Native Dev, hosts Guy Podjarny sits down with Mati Staniszewski, the visionary CEO and co-founder of ElevenLabs, a leader in AI audio technology. Mati shares the origin story of ElevenLabs, detailing how a frustration with subpar dubbing in Polish movies sparked a mission to revolutionize audio processing. The conversation delves into the technical challenges and breakthroughs that have positioned ElevenLabs at the forefront of AI-powered audio experiences. Mati also discusses the company's unique organizational culture and its commitment to pushing the boundaries of audio AI. Whether you're a developer, entrepreneur, or AI enthusiast, this episode offers valuable insights into the future of audio technology and the role ElevenLabs is playing in shaping it.

Watch the episode on YouTube: https://youtu.be/ImknDhWdDkQ

Building the Ultimate AI-Powered Development Environment with Farhath Razzaque

Wed, 19 Feb 2025 13:00:00 +0000

In this episode of the AI Native Dev podcast, Simon Maple sits down with Farhath Razzaque, a freelance software AI engineer who has been extensively using AI tools in his development workflow. Farhath has built a reputation as a trusted voice in the AI and software development communities, thanks to his rich background and experience. He has worked on multiple projects that integrate cutting-edge AI technologies, helping companies streamline their processes and innovate effectively. His passion for AI and development is evident through his active participation in various tech forums and his contributions to open-source projects. Farhath's insights into his ideal development environment, the tools he frequently uses, and his thoughts on the future of AI in software development offer invaluable guidance for developers looking to integrate AI into their processes.

Watch the episode on YouTube: https://youtu.be/7eE8rzzcrZM

DeepSeek R1: Ask Me Anything - Open Weights, MoE innovations, Model Distillation and more!

Tue, 11 Feb 2025 11:00:00 +0000

Join Simon Maple as he hosts a compelling discussion at the State of Open Con, featuring Amanda Brock, CEO of OpenUK, Guy Podjarny, Founder and CEO of Tessl, and Richard Sikang Bian, Head of Open Source from Ant Group. This episode delves into the impact of DeepSeek R1, a groundbreaking AI model that has taken the market by storm due to its cost-effective and innovative approach. The panel explores the broader implications for open source AI, discussing legal, ethical, and collaborative aspects. Amanda Brock provides insights into the open source legal frameworks, while Guy Podjarny shares his expertise on transparency and innovation. Richard Sikang Bian offers a unique perspective on company culture and AI development strategies. Tune in to understand how DeepSeek R1 is setting new standards in AI and what the future holds for open source technology.

Live Monthly: News on DeepSeek, Stargate, StackBlitz (Bolt.new) funding, prompting, and more

Tue, 04 Feb 2025 10:00:00 +0000

Join hosts Simon Maple and Guy Podjarny in this insightful episode as they discuss the latest trends and innovations in AI technology. Featuring the impressive advancements by DeepSeek, this episode highlights how these new developments are affecting major players like Nvidia and altering the AI landscape. The hosts also explore the significant investments in AI infrastructure and discuss the shifting role of developers in an AI-driven world. With expert insights from industry leaders, this episode is a must-listen for anyone interested in the future of AI.

RAG beats Fine-Tuning in learning your code base - but it doesn't make AI a better developer -Founder of Augment, Guy Gur-Ari explains

Tue, 28 Jan 2025 11:00:00 +0000

In this episode of the AI Native Dev podcast, hosts Guy Podjarny, and Dion Almaer are joined by Guy Gur-Ari, co-founder of Augment. Guy Gur-Ari has a rich background in the tech industry, notably having worked at Google, where he gained significant experience with large language models (LLMs). His tenure at Google saw him involved in the transition from vision models to language models, including the development of groundbreaking tools like the Codex model. With a focus on AI-powered solutions, Guy Gur-Ari's work has been pivotal in advancing AI's role in software development, making him a voice of trust and authority in the field. The discussion in this episode dives into the creation and benefits of AI-powered coding assistants and tools, exploring how they enhance developer productivity and the future of software development with AI.

Watch the episode on YouTube: https://youtu.be/McsKNfWPsUM

Adapting your team culture for AI: DevOps Lessons Learned with Hannah Foxwell

Tue, 21 Jan 2025 14:00:00 +0000

In this episode of the AI Native Dev podcast, Simon Maple is joined by Hannah Foxwell, an independent consultant with significant experience in platform engineering, security, and AI. Hannah shares her journey from a release manager to leadership roles at Snyk and VMware, revealing her deep insights into the parallels between DevOps and AI adoption. As a community leader and event organizer, Hannah offers valuable perspectives on the cultural shifts necessary for embracing AI in development teams. Discover how AI is impacting both seasoned and novice developers, the importance of overcoming skepticism, and the future role of AI in software development.

Watch the episode on YouTube: https://youtu.be/jGgqYLSLs8Q

From AI Assistants to Agents: How Sourcegraph is Transforming Enterprise Development

Thu, 16 Jan 2025 10:00:00 +0000

In this episode of the AI Native Dev podcast, hosts Dion Almaer sit down with Quinn Slack, a trailblazer in the tech industry and CEO of Sourcegraph. Known for his contributions to enhancing developer tools, Quinn shares his insights on the inception of Sourcegraph, its evolution with AI integration, and the journey towards creating the advanced AI tool, Cody. From initial challenges in code search to the development of agentic AI, Quinn provides a comprehensive look at how Sourcegraph is pioneering AI-driven software development. Listeners will gain valuable knowledge on the role of AI in automating coding tasks, the importance of a collaborative developer mindset, and the future prospects of AI in the industry.

Watch the episode on YouTube: https://youtu.be/ZTLSMN8eISs

LIVE 2024 Year in Review: AI Innovations and Predictions with Guy Podjarny

Wed, 15 Jan 2025 11:00:00 +0000

Join Simon Maple and Guy Podjarny as they recount the pivotal moments in AI development throughout 2024. This episode serves as a comprehensive review of the year, highlighting the evolution of AI tools, the competitive landscape among AI models, and the reality of AI hype. With expert guest Guy Podjarny, co-host of the podcast and a prominent figure in the tech industry, known for his leadership in developer security tools, the discussion delves into spec-centric development and predictions for 2025. Gain insights into the challenges and opportunities of AI as Simon and Guy share their perspectives on the future of AI-driven software development.

Watch the episode on YouTube: https://youtube.com/live/NYuQpoG0Xvo

Mastering LLM Prompting in the Real World by Macey Baker

Tue, 07 Jan 2025 13:00:00 +0000

In this enlightening episode of the AI Native Dev podcast, host Simon Maple engages with Macey Baker, a Community Engineer at Tessl, to explore the intricacies of prompting in AI interactions. Macey shares her expertise on effective prompting techniques and discusses her unique role at Tessl that combines AI engineering with community engagement. With her vast experience, Macey provides listeners with practical tips and insights on how to maximize the potential of LLMs through strategic prompting. From understanding the significance of community engineering to the dynamic nature of prompts, this episode is packed with valuable information for developers looking to enhance their AI models' performance.

Crossover episode with The Infra Pod - AI Native Development with Guy Podjarny

Thu, 26 Dec 2024 08:00:00 +0000

In this episode of the AI Native Dev podcast, Simon Maple introduces a special crossover event with the Infra Pod, featuring Guy Podjarny, CEO of Tessl and former founder of Snyk. Guy shares his journey from Snyk to Tessl and delves into the revolutionary concept of AI Native Development. Joined by Tim Chen and Ian Livingstone, they discuss the Tessl Vision and how AI is poised to reshape the software development landscape. Guy's insights on the separation of specification from implementation and the evolving role of AI in software creation provide a compelling vision of the future. With a focus on community engagement and events like AI Native DevCon, this episode is a must-listen for anyone interested in the future of AI and software development.

The Evolution of v0 and Vercel's AI SDK, with Malte Ubl, Vercel CTO

Wed, 18 Dec 2024 12:00:00 +0000

Join us for an engaging conversation with Malte Ubl, CTO of Vercel, as he delves into the transformative impact of AI on web development. Hosted by Dion Almaer from Tessl, this episode of the AI Native Dev Podcast explores how AI is reshaping the landscape for developers. Malte shares his journey from Google to Vercel and discusses the evolution of Vercel's AI SDK and v0 tool, along with the role of eval driven development in accelerating AI application refinement. Gain insights into the commoditization of AI models, the strategic use of proprietary data, and how full-stack development is being redefined by AI advancements.

Watch the episode on YouTube: https://youtu.be/wrRsHlhpubY

AI Evaluation and Testing: How to Know When Your Product Works (or Doesn’t)

Tue, 10 Dec 2024 12:00:00 +0000

This episode of AI Native Dev, hosted by Simon Maple and Guy Podjarny, features a mashup of conversations with leading figures in the AI industry. Guests include Des Traynor, founder of Intercom, who discusses the paradigm shift generative AI brings to product development. Rishabh Mehrotra, Head of AI at SourceGraph, emphasizes the importance of evaluation processes over model training. Tamar Yehoshua, President of Products and Technology at Glean, shares her experiences in enterprise search and the challenges of using LLMs in data-sensitive environments. Finally, Simon Last, Co-Founder and CTO of Notion, talks about continuous improvement and the iterative processes at Notion. Each guest provides invaluable insights into the evolving landscape of AI-driven products.

Watch the episode on YouTube: https://youtu.be/gZ4sGROvOdQ

DevOps with AI: Identifying the impact zone, with Roxane Fischer

Thu, 05 Dec 2024 14:00:00 +0000

In this episode of AI Native Dev, hosted by Simon Maple, we sit down with Roxane Fischer, the Co-founder and CEO of Anyshift. Roxane brings her extensive knowledge in AI and DevOps to the table, providing a comprehensive overview of how AI can enhance infrastructure as code flows. With her background in AI research and entrepreneurship, Roxane offers a unique perspective on balancing generative AI with deterministic processes. The discussion covers a variety of topics, including the role of generative AI in accelerating development workflows, the challenges of integrating AI in infrastructure as code, and the potential of Synthesis AI in DevOps. Tune in to explore the future trends in AI and DevOps and learn about Anyshift's mission to improve visibility for SRE teams through a digital twin of infrastructure.

Watch the episode on YouTube: https://youtu.be/eOTSG8UXGaw

Live Roundup: AI Myth busting in the real world and more with Matt Biilmann, Ben Galbraith, Patrick Debois and Simon Last

Wed, 04 Dec 2024 17:00:00 +0000

This month's episode of the AI Native Dev podcast, hosted by Simon Maple and Guy Podjarny, is a Thanksgiving special that brings together some of the brightest minds in AI and software development. Featuring Mathias Biilmann, CEO of Netlify; DevOps pioneer Patrick Debois; Notion's Simon Last; and Eric from StackBlitz, the episode explores the dynamic world of AI development. Discussions range from the impact of AI on the open web, innovative AI tools, and the evolving role of AI engineers. Tune in for a deep dive into the future of AI and its transformative power in software development.

Watch the episode on YouTube: https://youtube.com/live/NYuQpoG0Xvo

Building Notion AI: Lessons Learned and Myths Busted with Simon Last, Notion Co-Founder and CTO

Tue, 26 Nov 2024 12:00:00 +0000

In this episode of the AI Native Dev podcast, host Guy Podjarny sits down with Simon Last, co-founder of Notion, to discuss the company's innovative journey in AI integration. Simon Last shares the pioneering efforts that have positioned Notion as a leader in AI-driven productivity tools. From the early adoption of GPT-4 to the development of AI Writing Assistant, AI Autofill, and the Q&A feature, Simon discusses the vision, challenges, and future of AI in transforming digital collaboration. Discover how Notion's agile "tiger team" and rigorous evaluation processes drive continuous improvement in AI capabilities. Learn from Simon's insights into fine-tuning models, building trust in AI, and the future vision of automating tedious tasks to focus on strategic, high-level activities.

Watch the episode on YouTube: https://youtu.be/hmPIA1cv3Dg

Tessl Raises $125M to Build AI Native Development

Wed, 20 Nov 2024 08:00:00 +0000

In this special episode of AI Native Dev, brought to you by Tessl, hosts Simon Maple and Guy Podjarny are joined by Ben Galbraith, a new addition to the Tessl team from Google, to discuss Tessl’s groundbreaking vision for AI Native Software Development. With a significant funding milestone of $125 million, Tessl is poised to revolutionize how software is conceived and built. Throughout the episode, Guy and Ben delve into the challenges of current software development methodologies, the role of Large Language Models (LLMs), and Tessl's commitment to an open ecosystem that fosters innovation and collaboration. Listen in to learn about Tessl's platform development journey, insights from product development, and their exciting plans for community engagement leading up to a public beta release in early 2025.

Watch this episode on YouTube: https://youtu.be/Y3k6HzkFxVo

Beyond Coding assistants: Cursor as an API, Coding with gestures and more with Patrick Debois

Tue, 12 Nov 2024 10:00:00 +0000

In this captivating episode of the AI Native Dev podcast, Simon Maple welcomes back Patrick Debois, a leading figure in the tech industry famously known as the "Father of DevOps." Patrick shares his transformative journey of integrating AI into his coding practices, discussing the evolution and impact of AI tools like GitHub Copilot and ChatGPT. With his profound experience in software delivery and automation, Patrick provides valuable insights into the role of AI in coding, covering topics from AI code generation to the significance of user experience and security in AI tools. Tune in to learn from Patrick's experiences and explore the potential of AI to revolutionize your software development processes.

Does AI threaten the open web? Challenges and Opportunities with Netlify's CEO & Co-Founder, Matt Biillmann

Thu, 07 Nov 2024 10:00:00 +0000

In this episode of the AI Native Dev podcast, host Guy Podjarny welcomes Matt Biilmann, CEO and co-founder of Netlify, to explore the profound impact of AI on web development. Matt shares his journey from a music editor to a leading figure in web infrastructure, offering a unique perspective on AI-driven innovation. The conversation covers a range of topics, including AI-powered website builders, Netlify's strategic approach to AI, and the future of web development in an AI-enhanced world. Matt's insights provide a comprehensive understanding of how AI is set to revolutionize the digital landscape, making this episode a must-listen for developers and tech enthusiasts alike.

YouTube link for full video: https://youtu.be/WhhGMZo-HLg

Live Roundup: Embracing AI in Development and Infrastructure, with Liran Tal, Amara Graham, Armon Dadgar and Patrick Debois

Mon, 04 Nov 2024 12:00:00 +0000

In this episode of the AI Native Dev podcast, hosts Simon Maple and Guy Podjarny discuss the transformative role of AI in development and infrastructure. Featuring guests Liran Tal from Snyk, Armon Dadgar from HashiCorp, DevOps pioneer Patrick Debois, and Amara Graham from Camunda, the conversation covers AI code assistants, security in AI-generated code, and the cultural shifts in tech organizations. The episode offers a comprehensive look at how AI is reshaping the landscape and what it means for developers and tech companies.

Changing the Developer Documentation UX Workflow using AI with Amara Graham

Tue, 29 Oct 2024 09:00:00 +0000

Join us for an insightful discussion with Amara Graham, a leader in developer experience at Camunda, as she delves into the transformative impact of AI on developer documentation. With her extensive background in developer relations and advocacy, Amara shares her journey and the innovative strategies employed at Camunda to integrate AI into documentation. This episode explores the role of AI in enhancing user experience, the challenges of implementing AI tools, and the future of AI in developer environments. Whether you're a developer, a technical writer, or an AI enthusiast, this episode offers valuable perspectives and practical insights into the dynamic intersection of AI and developer experience.

From DevOps to AI: Patrick Debois Shares Strategies for Successful AI Integration and Cultural Change

Tue, 22 Oct 2024 10:00:00 +0100

Join host Guy Podjarny as he sits down with Patrick Debois, known as the "father of DevOps", to discuss the rapidly evolving landscape of AI Native Development. With over two decades of experience in IT, Patrick offers a unique perspective on the parallels between AI and DevOps, emphasizing the need for integration and cultural change. In this insightful conversation, they delve into the speed of AI adoption, the importance of breaking down silos, and the role of governance in AI systems. Patrick also shares strategies for successful AI integration, highlighting the significance of engineering practices and continuous improvement. Whether you're a seasoned developer or new to AI, this episode provides valuable insights into harnessing the power of AI in modern software development.

Can AI Tools Be Trusted with Security-Critical Code? Real World AI Security Risks with Liran Tal

Tue, 15 Oct 2024 11:00:00 +0100

Join Simon Maple as he hosts Liran Tal, a Developer Advocate at Snyk, in a fascinating exploration of AI's impact on security. Liran, with his extensive background in software development and application security, shares valuable insights into how AI influences security practices, both as a tool and a potential threat. The discussion covers a wide range of topics, from non-determinism in AI to the role of AI code assistants and the implications of LLM-generated responses. Liran offers practical advice for developers on integrating security into their workflows and balancing AI's capabilities with human oversight. This episode is a must-listen for developers interested in the evolving landscape of AI and security.

Armon Dadgar, Hashicorp co-founder, on AI Native DevOps: Can AI shape the future of Autonomous DevOps workloads?

Wed, 09 Oct 2024 15:00:00 +0100

Join Guy Podjarny as he sits down with Armon Dadgar, Co-founder of HashiCorp, in this insightful episode of AI Native Dev. Armon shares his expertise on the evolving role of AI in modern infrastructure management, discussing the life cycle of infrastructure, the tools involved, and the potential for AI to automate and streamline these processes. Through this conversation, Armon provides a comprehensive look at the future of AI integration in DevOps, detailing challenges, opportunities, and the skills necessary to thrive in this rapidly changing landscape.

Monthly Roundup: AI Security, AI Documentation, Enterprise AI Strategies, with Ben Galbraith

Thu, 03 Oct 2024 10:00:00 +0100

Join hosts Simon Maple and Guy Podjarny as they recap the highlights from September's sessions on the AI Native Developer podcast. Featuring special guest Ben Galbraith, we explore diverse topics ranging from enterprise AI strategies and AI-driven documentation updates to the latest in AI security practices. Ben shares his career journey and insights from his new role at Tessl, providing listeners with a glimpse into the future of AI Native Development. This episode is packed with expert opinions and practical advice for developers looking to harness the power of AI.

Can Claude 3.5 build production-quality apps without us having to write code? Felipe Aguirre tried doing just that!

Tue, 01 Oct 2024 12:00:00 +0100

In this enlightening episode of the AI Native Dev podcast, Simon Maple sits down with Felipe Aguirre, a seasoned data scientist with a PhD in computer science and over 15 years of experience. Felipe, the organizer of the global AI Tinkerers community, shares his journey from academia to entrepreneurship and delves into the transformative potential of AI in software development. He provides practical insights on using AI tools like Claude to generate code and build applications, illustrating how these innovations can streamline development workflows and boost productivity. Whether you're a developer curious about AI or a tech enthusiast, this episode offers valuable perspectives on the future of coding.

Does AI Generate Secure Code? Tackling AppSec in the Face of AI Dev Acceleration, Prompt Injection and Data Poisoning.

Tue, 24 Sep 2024 09:00:00 +0100

In this episode of the AI Native Dev Podcast, host Guy Podjarny welcomes Caleb Sima, a seasoned expert in cybersecurity and AI. Caleb's impressive background includes founding Spy Dynamics and serving as the Chief Information Security Officer (CISO) at Databricks and Robinhood. Currently, he's making waves on the investment side with WhiteRabbit and co-hosting a podcast on AI security.

AI-Powered Documentation: Insights with Omer Rosenbaum, CTO of Swimm

Tue, 17 Sep 2024 11:00:00 +0100

In this engaging episode, Simon Maple sits down with Omer Rosenbaum, the CTO and co-founder of Swimm, to explore the challenges and solutions in the realm of software documentation. With a rich background in cybersecurity, Omer brings a unique perspective to the discussion, highlighting the critical role of documentation in developer onboarding and knowledge sharing within organizations. They delve into how AI can assist in writing, updating, and finding documentation and discuss Swimm’s innovative approach that combines static analysis with AI to automate the documentation process. This episode is a must-listen for anyone interested in the future of software documentation and the impact of AI on developer workflows.

Enterprise AI Solutions Need to be Different - Glean and ex-Slack CPO, Tamar Yehoshua, on RAG, Changing Behavior and Bring-Your-Own-Model.

Tue, 10 Sep 2024 09:00:00 +0100

In this episode of AI Native Dev, host Guy Podjarny sits down with Tamar Yehoshua, a seasoned tech leader with an impressive career in engineering and product leadership roles at Amazon, Google, Slack, and currently, Glean. Tamar shares her journey and the innovative work being carried out at Glean, an enterprise AI platform. The discussion delves into Glean's dual interface for search and chat, the critical importance of security and privacy in AI solutions, and the architectural insights behind Glean's RAG-based solution. Tamar also sheds light on the evolution from AI to generative AI at Glean, the challenges of building AI solutions for enterprises, and strategies for user adoption and behavior change. Looking ahead, Tamar envisions a future where AI assistants handle repetitive tasks, allowing employees to focus on more creative and high-leverage activities. This episode is a must-listen for anyone interested in the future of AI in the enterprise.

Monthly Roundup: Gen AI powered TDD, Understanding vs Generating Code, Speciality vs General models, and more!

Thu, 05 Sep 2024 11:00:00 +0100

In this month's episode of the Tessl podcast, hosts Simon Maple and Guy Podjarny explore the transformative impact of AI on software development. Featuring insights from industry leaders such as Itamar Friedman from Codium AI, James Ward from AWS, Jason Warner from Poolside, and Bouke Nijhuis from CINQ, the episode delves into AI's role in testing, code generation, and the future roles of developers. Listen as they discuss complex topics like AI-generated tests, the dichotomy between understanding and generating code, and the importance of tests over code. This episode is essential listening for anyone interested in the intersection of AI and software development.

TDD and Generative AI - A perfect developer pairing with Bouke Nijhuis

Tue, 27 Aug 2024 09:00:00 +0100

Join Simon Maple as he sits down with Bouke Nijhuis, the Chief Technology Officer of CINQ, a consultancy based in Amsterdam. Bouke, an experienced Java developer and international speaker, delves into the world of Test-Driven Development (TDD) and the role of AI in modern software development. Throughout the episode, Bouke discusses his experiences with various AI coding assistants, and the innovative concept of generating code from human-written tests using AI. Learn about Bouke's practical implementations, the challenges faced, and his vision for a future where tests are the primary artifacts in software development. Whether you're a seasoned developer or just starting out, this episode offers valuable insights into the evolving landscape of AI-assisted coding.

From building CoPilot as GitHub CTO to building a code foundation model at Poolside: Jason Warner explores the AI Code Generation journey and where it leads

Tue, 20 Aug 2024 11:00:00 +0100

In this episode of AI Native Dev, Guy Podjarny sits down with Jason Warner, a veteran in software development and AI. Jason's impressive career includes roles such as CTO at GitHub, where he contributed to the creation of GitHub Actions and GitHub Copilot, GM at Heroku, and positions at Canonical and Redpoint Ventures. Now, as the founder of Poolside, Jason focuses on developing state-of-the-art language models for software development. This episode covers the evolution of code generation, the impact of AI on software development, the challenges and limitations of current models, and speculations on the future role of developers in an AI-native world.

Boosting Developer Productivity with Q Developer: Hands on Insights from James Ward

Tue, 13 Aug 2024 09:00:00 +0100

In this follow-up episode, we welcome back James Ward, a seasoned software developer with extensive experience in cloud computing and AI. James shares his hands-on experiences with Q Developer, an AI assistant designed to integrate seamlessly with AWS services. This episode offers a practical look into using Q Developer to enhance coding productivity and streamline cloud management. James discusses various features, including code explanation, test generation, and advanced slash commands. Whether you're an advanced developer or just starting, James's insights provide valuable knowledge that can transform your development process.

Note - this episode is best viewed on YouTube as it describes a demo on screenshare.

Rethinking Software Development: James Ward on AI's Role in Software Testing and Coding

Tue, 13 Aug 2024 09:00:00 +0100

In this enlightening episode, Simon Maple is joined by James Ward, developer advocate at AWS, to explore the evolving role of AI in the realm of software testing and development. James shares his journey and experiences with AWS, delves into a provocative tweet about AI's potential to write code, and discusses the current capabilities and limitations of AI tools like AWS Q Developer. They also speculate on the future of development roles, the importance of comprehensive specifications and tests, and the symbiotic relationship between AI and developers. Whether you're a seasoned developer or just curious about the future of AI in coding, this episode offers valuable insights and thought-provoking discussions.

Transforming Software Testing with AI: A Chat with Itamar Friedman from Codium AI

Tue, 06 Aug 2024 13:00:00 +0100

In this episode of the AI Native Dev Podcast, host Guy Podjarny sits down with Itamar Friedman, the co-founder and CEO of Codium AI, a leading company in the AI test generation space. Itamar brings a wealth of experience from his diverse background, including his work in chip verification at Mellanox. Before founding Codium AI, Itamar held significant roles in various tech companies, showcasing his expertise in AI and software development.

The discussion delves into the intricacies of AI test generation, exploring how AI can enhance different types of testing, from unit and component testing to system and end-to-end testing. Itamar explains how AI can assist in test planning, generating and maintaining tests, and the distinct roles of functional and regression testing. He also addresses the challenges developers face in trusting AI-generated tests and outlines the path towards autonomous AI test generation. This episode is a must-listen for anyone interested in the future of AI in software testing and development.

Monthly Roundup: AI Tool Effectiveness, Context, Fin, and AI Autonomy.

Thu, 01 Aug 2024 12:00:00 +0100

In this insightful episode of the AI Native Dev podcast, hosts Simon Maple and Guy Podjarny discuss the key themes and learnings from their recent podcast episodes. From evaluating the effectiveness of AI tools to understanding the critical role of context in AI code generation, Simon and Guy cover a wide range of topics that are crucial for developers working with AI technologies.

Unpacking Dosu: AI's Role in Assisted Development

Tue, 30 Jul 2024 11:00:00 +0100

Join Simon Maple in this insightful episode as he continues his conversation with Devin Stein, the innovative mind behind Dosu, an AI-driven tool designed to assist developers with tasks outside the traditional IDE. Devin, a seasoned software engineer and entrepreneur, shares how Dosu helps developers by answering questions, triaging issues, and maintaining documentation. The episode explores real-world examples of Dosu in action, highlighting its successes and the critical role of human oversight in ensuring accuracy.

Devin Stein, with his extensive background in AI and machine learning, discusses the practical applications of Dosu within the open-source community and beyond. Learn how Dosu automates responses, organizes issues, and integrates data from various sources to provide comprehensive and accurate solutions. The conversation also touches on the limitations of AI and the essential balance between AI capabilities and human oversight.

Automating Development: AI Beyond Coding Assistants with Devin Stein from Dosu

Tue, 30 Jul 2024 10:00:00 +0100

Join Simon Maple as he chats with Devin Stein, the innovative founder of Dosu. In this episode, they delve into the evolving role of AI in software development, focusing on automating tasks outside the IDE. Devin shares his journey from early engineering roles at startups to founding Dosu, a company dedicated to alleviating developers' maintenance burdens through AI. They discuss the challenges and triumphs of integrating AI into development workflows, the precision and context required for effective AI responses, and the future potential of AI in creating higher-level abstractions and primitives. Whether you're a seasoned developer or new to the field, this episode offers valuable insights into the future of AI in development.

Navigating AI for Testing: Insights on Context and Evaluation with Sourcegraph

Tue, 23 Jul 2024 12:00:00 +0100

In this episode, Simon Maple dives into the world of AI testing with Rishabh Mehrotra from Sourcegraph. Together, they explore the essential aspects of AI in development, focusing on how models need context to create effective tests, the importance of evaluation, and the implications of AI-generated code. Rishabh shares his expertise on when and how AI tests should be conducted, balancing latency and quality, and the critical role of unit tests. They also discuss the evolving landscape of machine learning, the challenges of integrating AI into development workflows, and practical strategies for developers to leverage AI tools like Cody for improved productivity. Whether you're a seasoned developer or just beginning to explore AI in coding, this episode is packed with insights and best practices to elevate your development process.

Intercom Co-Founder on AI Autonomy, Adapting Dev to LLMs and what AI Native means: Insights from Des Traynor

Thu, 18 Jul 2024 08:00:00 +0100

In this enlightening episode of the AI Native Dev podcast, Des shares invaluable insights into the strategic decisions and challenges faced along the way of Intercom's AI journey, highlighting the pivotal moments that shaped Intercom's AI-first approach. The discussion delves into the evolution from AI-assisted tools to autonomous AI agents, organizational changes, and the future of AI-powered customer support. Des also emphasizes the importance of up-to-date knowledge bases and disciplined adoption of AI tools. This episode is a must-listen for anyone looking to understand the impact of AI on customer service and the broader implications for development practices.

Unlocking the Full Potential of AI Assistants for Developers with Peter Guagenti from Tabnine

Tue, 16 Jul 2024 13:00:00 +0100

In this podcast episode, Simon Maple and Peter Guagenti explore the evolution, current capabilities, and future potential of AI code assistants like Tabnine. Peter shares extensive experience and insights into how these tools have transitioned from code completion aids to comprehensive assistants throughout the Software Development Life Cycle (SDLC). The discussion also addresses common concerns among developers, such as job security and the accuracy of AI-generated code. Listeners will learn practical tips for leveraging AI tools effectively and hear predictions of AI in software development. Join us as we delve into this fascinating topic with an industry expert.

Categorizing the AI Developer Tooling Landscape with Amir Shevat. Discussing Copilot, Tabnine, AI Code Completion, AI Testing, AI Documentation and much more!

Thu, 11 Jul 2024 10:00:00 +0100

On today's episode, we're categorizing AI development tools to map out the AI Native Software development space. We'll introduce each category and discuss their significance, setting up deeper dives for future content.

Our guest is Amir Shevat, an expert in developer tools and investor with experience at Microsoft, Google, Slack, and Twitter. Amir will help us explore:

Code Completion Tools: Tools like Copilot and Tabnine that integrate into IDEs to enhance productivity.
AI Test Generation: Tools like Codium and Heal.dev that automate testing tasks to improve software quality.
AI Documentation: Tools such as Swimm and Tadata that automate and maintain code and user documentation.
DevOps Automation: Tools like Resolvd that automate deployment processes, aiming for a future where AI handles more complex DevOps tasks.
AI Monitoring and Debugging: Tools including second.dev that provide insights and identify irregularities in code performance.

We also touch on CICD, code explainers, performance tooling, security, UX, code reviews, data management, and autonomous agents.

Amir emphasizes that AI tools can automate many tasks, allowing developers to focus on defining business logic and ensuring code quality and user experience.

Join us next time for a detailed discussion on code completion with the folks at Tabnine. Share your feedback at podcast@tessl.io or on social media. Thank you, Amir, for a fascinating conversation.

Introducing AI Native Software Development, and Announcing Tessl

Tue, 09 Jul 2024 12:00:00 +0100

In this inaugural episode of the AI Native Dev podcast, hosts Simon Maple and Guy Podjarny reunite to delve into the world of AI native software development. They explore what AI native development means, why it’s crucial, and how it will revolutionize the software creation process. Guy also introduces his new company, Tessl, detailing its vision, ambitions, and plans for the future.

Listeners will gain insights into the core principles of AI native software development, such as the transition from code-centric to spec-centric approaches and the implications of AI on software ecosystems. The episode also touches on the evolving role of developers and the potential for AI to transform repetitive tasks, enabling developers to focus on more creative and impactful work.

Stay tuned as the hosts discuss the exciting future of AI in software development, share their expectations, and invite the community to join them on this innovative journey. Whether you’re a seasoned developer or new to the AI landscape, this episode is packed with valuable insights and thought-provoking discussions.

The AI Native Dev Podcast Trailer: Discovering and Shaping the Future of Software Development in the AI era

Mon, 08 Jul 2024 11:00:00 +0100

Welcome to the AI Native Dev Podcast, hosted by Guy Podjarny and Simon Maple. If you're a developer or dev leader, join us as we explore and help shape the future of software development in the AI era. Dive into exciting AI-powered dev tools and hear from their makers on how they work and how you should use them. We'll discuss the evolving role of software developers and what AI native software development looks like. Tune in every Tuesday for insights from industry trailblazers, and every other Thursday for expert deep dives. Don’t miss our monthly roundups with Guy and Simon, filled with learnings and a touch of banter. Subscribe now to supercharge your development and be part of the next generation of software development.