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

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Welcome to The AI Native Developer, hosted by Guy Podjarny and Simon Maple. Join us as we explore and help shape the future of software development through the lens of AI. In this new paradigm of AI Native Software Development, we delve into how AI is transforming the way we build software, from tools and practices to the very structure of development teams.Our target audience includes developers and development leaders eager to stay ahead of the curve. If you're passionate about the future of software development and curious about how to leverage AI to build effective teams and groundbreaking software, this podcast is for you.Each week, we bring you insights into the latest AI tools and best practices, keeping you up-to-date with the cutting-edge advancements in the industry. Additionally, every two weeks, we present deep dives with experts and leaders in the AI and software development space, offering a glimpse into the future of AI development.Tune in to discover how AI will revolutionize your workflows, roles, and organizations. Get inspired by the latest tools and best practices, and prepare to be part of the next generation of software development.

  1. Inside Anthropic: How Claude Tag Is Changing Agentic Work

    −2 d ·  Video

    Inside Anthropic: How Claude Tag Is Changing Agentic Work

    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. Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh Ask us questions: podcast@tessl.io

    58 min
  2. The Tessl Agent: Build Your Software Factory on Autopilot

    30 juni ·  Video

    The Tessl Agent: Build Your Software Factory on Autopilot

    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. Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh Ask us questions: podcast@tessl.io

    53 min
  3. Why Agents Are Forcing Enterprises to Finally Fix Their Dev Process

    25 juni ·  Video

    Why Agents Are Forcing Enterprises to Finally Fix Their Dev Process

    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. Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh Ask us questions: podcast@tessl.io

    1 tim 1 min
  4. BONUS: DevCon London: Real Talk on AI ROI, Harnesses & Evals

    23 juni ·  Bonusvideo

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

    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. Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh Ask us questions: podcast@tessl.io

    24 min
  5. AI Security & the Agent-Ready Web: Experts Weigh In

    16 juni ·  Video

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

    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 Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh Ask us questions: podcast@tessl.io

    1 tim 4 min
  6. Ryan Lopopolo: OpenAI's Framework for Shipping Code at 70 PRs/Week

    9 juni ·  Video

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

    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 Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh Ask us questions: podcast@tessl.io

    56 min
  7. Why Developers Hit a Wall at 4 AI Agents

    2 juni ·  Video

    Why Developers Hit a Wall at 4 AI Agents

    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 itHow AI adoption reached 71% weekly active usage across 250K developers, and what "depth of use" really meansWhy 2026 is the year the CFO gets involved — and how engineering leaders should prepare to show their receiptsThe biggest misconception engineering leads have about what it takes to get to true AI-native developmentWhy 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. Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh Ask us questions: podcast@tessl.io

    48 min
  8. Don't Secure the Code. Secure the Coder.

    26 maj ·  Video

    Don't Secure the Code. Secure the Coder.

    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 seeSkills 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 designThe OWASP Top Ten for Agentic AI and what it means for teams building todayWhy security must become agentic to keep up with the attackers who already areThe Context Development Lifecycle (CDLC) and how leading orgs are using itLinks: 🌐 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. Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh Ask us questions: podcast@tessl.io

    41 min
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Om

Welcome to The AI Native Developer, hosted by Guy Podjarny and Simon Maple. Join us as we explore and help shape the future of software development through the lens of AI. In this new paradigm of AI Native Software Development, we delve into how AI is transforming the way we build software, from tools and practices to the very structure of development teams.Our target audience includes developers and development leaders eager to stay ahead of the curve. If you're passionate about the future of software development and curious about how to leverage AI to build effective teams and groundbreaking software, this podcast is for you.Each week, we bring you insights into the latest AI tools and best practices, keeping you up-to-date with the cutting-edge advancements in the industry. Additionally, every two weeks, we present deep dives with experts and leaders in the AI and software development space, offering a glimpse into the future of AI development.Tune in to discover how AI will revolutionize your workflows, roles, and organizations. Get inspired by the latest tools and best practices, and prepare to be part of the next generation of software development.

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