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

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

    "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 (https://www.linkedin.com/in/simonmapl

  2. Everything 100 Episodes Revealed About AI Native Dev

    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, Eleve

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

    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 (https://www.linkedin.com/in/simonmaple/) sits down with Amanda Brock (https://www.linkedin.com

  4. Why Every Developer needs to know about WebMCP Now

    An agent cannot read your website. And that needs to change. In this episode of AI Native Dev, Guy Podjarny (http://uk.linkedin.com/in/guypo) sits down with Maximiliano Firtman (https://www.linkedin.com/in/firtman/?locale=es), 30-year web d

  5. Stop Maintaining Your Code. Start Replacing It

    "The code that we have is a liability. The system is the asset we're building." Chad Fowler (https://www.linkedin.com/in/fowlerchad/), VC at Blue Yard Capital (https://www.linkedin.com/company/blueyard-capital/) and former CTO at Wunderlist

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

    Most developers install skills without reading what's inside them. But that's exactly what attackers are counting on. Simon Maple (https://www.linkedin.com/in/simonmaple/) sits down with Brian Vermeer (https://www.linkedin.com/in/brianverme

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

    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

  8. Why Your Agent Needs Memory, Not Just Context

    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. O

  9. Cisco Principal Engineer's Fix for AI Code Security

    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 securit

  10. Why Context Beats Every Prompt You'll Ever Write

    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

  11. From IBM Acquisition to AI-Native Observability | Dash0 CEO

    "Charts are good for users, not good for agents. Agents look at the underlying data and do deep analysis." Mirko Novakovic (https://www.linkedin.com/in/mirkonovakovic/) built Instana, sold it to IBM, and now he's building Dash0 (https://www

  12. The End of Fragmented Agent Context

    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. T

  13. The Developer Skills That Will Actually Survive AI

    “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 D

  14. How Too Much Information Destroys Agent Performance

    Most AI agents fail because you're using them wrong. Here’s what actually works in production. In this episode, Simon Maple (https://www.linkedin.com/in/simonmaple/) sits down with Itamar Friedman (https://www.linkedin.com/in/itamarf/) (CEO

  15. Intelligence ≠ Knowledge: Why Context Beats Bigger Models

    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

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

    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 roo

  17. What Developers Need To Know About Agents Before 2026

    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 Cohe

  18. Why Faster AI Development Often Increases Rework | Cian Clarke

    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

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

    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 cri

  20. How New Libraries Saw a 50% Improvement | Maria Gorinova

    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

  21. Agent Experience Is the New Developer Experience | Sean Roberts

    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 (https://www.linkedin.com/in/developsean/), VP of Applied AI at Netlify, explains why agent experienc

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

    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 t

  23. The Hidden Vulnerabilities Behind AI Code | René Brandel

    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

  24. What Developers Can Build Next With AI

    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 relia

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

    How do you give an agent the same visibility a human developer has, without giving it full control? Alan Pope (https://www.linkedin.com/in/alan-pope-uk/), Senior Developer Advocate at Tessl (https://www.linkedin.com/company/tesslio/), expla

  26. AI Agents Beyond Context Limits | Maksim Shaposhnikov

    Bots follow scripts. Assistants wait for your commands. Agents act autonomously. Maksim Shaposhnikov (https://www.linkedin.com/in/maxshapp/), AI Research Engineer at Tessl (https://www.linkedin.com/company/tesslio/), joins Simon Maple (http

  27. Instant PR Feedback Without leaving GitHub | Merrill Lutsky on Graphite

    As AI outpaces human review, latency compounds. On AI Native Dev, Graphite co-founder and CEO, Merrill Lutsky (https://www.linkedin.com/in/merrill-lutsky/) joins Guy Podjarny (https://www.linkedin.com/in/guypo/) to explore how stack aware r

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

    Even the smartest AI agent starts as a blank slate. Alexandru Gavrilescu (https://www.linkedin.com/in/alexandrugavrilescu/), creator of Backlog.md, and Simon Maple (https://www.linkedin.com/in/simonmaple/) explore how to give AI the right c

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

    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 d

  30. How Slack AI Agents Accelerate Dev Productivity | Samuel Messing

    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 tacklin

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