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

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

Tessl
Pays États-Unis
Genres Technologie
Langue EN-US
Épisodes 114
Dernier 30.06.2026

The AI Native Developer, hosted by Guy Podjarny and Simon Maple, explores the future of software development through the lens of AI. The podcast covers how AI is transforming tools, practices, and team structures, targeting developers and development leaders. Weekly episodes provide insights into the latest AI tools and best practices, while bi-weekly deep dives feature experts and leaders in AI and software development. The show aims to help listeners leverage AI to build effective teams and groundbreaking software.

Épisodes

  • The Tessl Agent: Build Your Software Factory on Autopilot 30.06.2026 53min
    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...
  • Why Agents Are Forcing Enterprises to Finally Fix Their Dev Process 25.06.2026 1h
    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-ra...
  • BONUS: DevCon London: Real Talk on AI ROI, Harnesses & Evals 23.06.2026 24min
    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...
  • AI Security & the Agent-Ready Web: Experts Weigh In 16.06.2026 1h 3min
    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 Firt...
  • Ryan Lopopolo: OpenAI's Framework for Shipping Code at 70 PRs/Week 09.06.2026 56min
    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 ...
  • Why Developers Hit a Wall at 4 AI Agents 02.06.2026 48min
    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 ...
  • Don't Secure the Code. Secure the Coder. 26.05.2026 40min
    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...
  • The Hidden Security Risks of AI Coding Agents 19.05.2026 41min
    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 surfaceHow text and markdown files have b...
  • "AI Doesn't Stand for Artificial Intelligence" — Venkat Subramaniam's Take Will Change How You Think About It 12.05.2026 53min
    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...
  • The Creator of Spring Thinks You Can't Code Serious Software With AI 05.05.2026 57min
    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 E...
  • What OpenAI, Stripe & ElevenLabs Devs Do Differently Now | AI Native Dev 28.04.2026 1h 6min
    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 differen...
  • Logan Kilpatrick on Who Ships AGI, DeepMind and the Problem With More Software 21.04.2026 38min
    "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 AIAGI will be a product, not a modelThe way you used AI tools thre...
  • Everything 100 Episodes Revealed About AI Native Dev 14.04.2026 57min
    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 developmentWhy humans become the bottleneck in code reviewWhat changes when agents run the SDLC end-to-endAdoption across orgs vs depth of actual usage Thanks to every gue...
  • How DeepSeek leveraged Qwen and Llama to build its model in $5M 07.04.2026 40min
    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 nowhow DeepSeek built a frontier model for $5 million instead of $100 millionwhy Chinese developers are alr...
  • Why Every Developer needs to know about WebMCP Now 31.03.2026 1h
    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 expensivewhat Web MCP is and how it gives agents a direct API into your websitehow a 200MB Apple model running offline is o...
  • Stop Maintaining Your Code. Start Replacing It 24.03.2026 1h 2min
    "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 ...
  • We Scanned 3,984 Skills — 1 in 7 Can Hack Your Machine 17.03.2026 35min
    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 secureHow a trusted skil...
  • The Greatest Time to Build a Startup (The AI-Native Advantage) 10.03.2026 1h 1min
    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. ...
  • Why Your Agent Needs Memory, Not Just Context 03.03.2026 44min
    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 downthe job title that is replacing prompt engineersfile systems vs databases for agent memory (and why one gets you hacked)the memory trick that makes agents feel actually intel...
  • Cisco Principal Engineer's Fix for AI Code Security 25.02.2026 34min
    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 workswhy Cisco open sou...

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