The AI Native Dev - from Copilot today to AI Native Software Development tomorrow
by Tessl
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From 12 epsHosts
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Recent episodes
The Creator of Spring Thinks You Can't Code Serious Software With AI
May 5, 2026
57m 11s
What OpenAI, Stripe & ElevenLabs Devs Do Differently Now | AI Native Dev
Apr 28, 2026
1h 06m 26s
Logan Kilpatrick on Who Ships AGI, DeepMind and the Problem With More Software
Apr 21, 2026
38m 51s
Everything 100 Episodes Revealed About AI Native Dev
Apr 14, 2026
57m 06s
How DeepSeek leveraged Qwen and Llama to build its model in $5M
Apr 7, 2026
40m 05s
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 5/5/26 |  The Creator of Spring Thinks You Can't Code Serious Software With AI✨ | enterprise AIsoftware development+4 | Rod Johnson | Spring FrameworkEmbabel | — | enterprise AISpring Framework+5 | — | 57m 11s | |
| 4/28/26 |  What OpenAI, Stripe & ElevenLabs Devs Do Differently Now | AI Native Dev✨ | AI-native developmentsoftware development+3 | Simon Maple | Google DeepMindOpenAI+2 | — | AIsoftware development+3 | — | 1h 06m 26s | |
| 4/21/26 |  Logan Kilpatrick on Who Ships AGI, DeepMind and the Problem With More Software✨ | AGIAI development+4 | Logan Kilpatrick | OpenAIGoogle DeepMind | — | AGIAI tools+5 | — | 38m 51s | |
| 4/14/26 |  Everything 100 Episodes Revealed About AI Native Dev✨ | AI Native DevelopmentSoftware Development Life Cycle+3 | Guy Podjarny | DatadogElevenLabs+1 | — | AI Native Devsoftware development+5 | — | 57m 06s | |
| 4/7/26 |  How DeepSeek leveraged Qwen and Llama to build its model in $5M✨ | open source AIAI development+5 | Amanda Brock | LlamaQwen+2 | — | open sourceAI+7 | — | 40m 05s | |
| 3/31/26 |  Why Every Developer needs to know about WebMCP Now✨ | Web DevelopmentAI Agents+3 | Maximiliano Firtman | Apple | — | Web MCPAI agents+5 | — | 1h 00m 58s | |
| 3/24/26 |  Stop Maintaining Your Code. Start Replacing It✨ | Phoenix Architecturesoftware development+3 | Chad Fowler | Blue Yard CapitalWunderlist | — | Phoenix Architecturecode maintenance+3 | — | 1h 02m 11s | |
| 3/17/26 |  We Scanned 3,984 Skills — 1 in 7 Can Hack Your Machine✨ | security vulnerabilitiesdeveloper skills+3 | Brian Vermeer | Snyk | — | security riskdeveloper skills+3 | — | 35m 17s | |
| 3/10/26 |  The Greatest Time to Build a Startup (The AI-Native Advantage)✨ | AI developmentstartup building+3 | Daniel Jones | re:cinq | — | AI-nativestartup+3 | — | 1h 01m 57s | |
| 3/3/26 |  Why Your Agent Needs Memory, Not Just Context✨ | agent memoryAI development+3 | Richmond Alake | Oracle | — | AI agentsmemory+5 | — | 44m 24s | |
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| 2/25/26 |  Cisco Principal Engineer's Fix for AI Code Security✨ | AI code securityvulnerable code+3 | John Groetzinger | CodeGuardCisco | — | AI coding agentcode security+5 | — | 34m 10s | |
| 2/17/26 |  Why Context Beats Every Prompt You'll Ever Write✨ | context managementagentic development+3 | Guy PodjarnySimon Maple | — | — | contextprompts+3 | — | 31m 17s | |
| 2/10/26 |  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 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 ... | 56m 31s | ||||||
| 2/3/26 |  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. 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... | 44m 49s | ||||||
| 1/27/26 |  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 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... | 56m 39s | ||||||
| 1/20/26 |  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 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 ex... | 20m 53s | ||||||
| 1/13/26 |  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 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 t... | 1h 12m 28s | ||||||
| 1/6/26 |  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 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 • Wh... | 1h 13m 11s | ||||||
| 12/30/25 |  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 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... | 47m 20s | ||||||
| 12/23/25 |  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 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,... | 54m 37s | ||||||
| 12/16/25 |  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 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... | 43m 14s | ||||||
| 12/9/25 |  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, 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 Tes... | 41m 30s | ||||||
| 12/3/25 |  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, 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 ag... | 30m 34s | ||||||
| 11/26/25 |  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 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 ... | 33m 50s | ||||||
| 11/18/25 |  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 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, scalabl... | 1h 01m 37s | ||||||
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