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

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 [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 [https://www.linkedin.com/in/guypo/?originalSubdomain=uk] 2. Simon Maple - https://www.linkedin.com/in/simonmaple/ [https://www.linkedin.com/in/simonmaple/] 3. Tessl - https://www.linkedin.com/company/tesslio/ [https://www.linkedin.com/company/tesslio/] 4. AI Native Dev - https://www.linkedin.com/showcase/ai-native-dev/ [https://www.linkedin.com/showcase/ai-native-dev/] Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh Ask us questions: podcast@tessl.io

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 • 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/  [https://www.linkedin.com/in/ashtom/ ] 2. Guy Podjarny- https://www.linkedin.com/in/guypo/  [https://www.linkedin.com/in/guypo/ ] 3. Tessl- https://www.linkedin.com/company/tesslio/ [https://www.linkedin.com/company/tesslio/] 4. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/ [https://www.linkedin.com/showcase/ai-native-dev/ ] Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh Ask us questions: podcast@tessl.io

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 of Qodo) and Robert Brennan [https://www.linkedin.com/in/robert-a-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/ [https://www.linkedin.com/in/itamarf/] Robert Brennan: https://www.linkedin.com/in/robert-a-brennan/ [https://www.linkedin.com/in/robert-a-brennan/] Simon Maple: https://www.linkedin.com/in/simonmaple/ [https://www.linkedin.com/in/simonmaple/] Tessl: https://www.linkedin.com/company/tesslio/ [https://www.linkedin.com/company/tesslio/] AI Native Dev: https://www.linkedin.com/showcase/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

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 [https://youtu.be/-5N53Xq5DX4?si=f8hFrjtO4eZQ4sYJ] Macey Baker: https://youtu.be/ENL9WJ93fVU?si=ffDkY4OYxVxKlCOc [https://youtu.be/ENL9WJ93fVU?si=ffDkY4OYxVxKlCOc] Maksim Shaposhnikov: https://youtu.be/BQbuAykmleQ?si=u_dDLkNKNgCq10ax [https://youtu.be/BQbuAykmleQ?si=u_dDLkNKNgCq10ax] Yaniv Aknin: https://youtu.be/WjMy0JFTQZ0?si=yoFbEvoWhsIicetw [https://youtu.be/WjMy0JFTQZ0?si=yoFbEvoWhsIicetw] Merrill Lutsky: https://youtu.be/kH_Z_k6hIwg?si=-4R1Yv45pRO2LcKq [https://youtu.be/kH_Z_k6hIwg?si=-4R1Yv45pRO2LcKq] Samuel Messing (Slack): https://youtu.be/jCVvVVXcxbQ?si=o004uK9g6xIKxiMp [https://youtu.be/jCVvVVXcxbQ?si=o004uK9g6xIKxiMp] Maor Shlomo (Base44): https://youtu.be/TKrXyZr6UgM?si=c-WXIzqDHbl9bW4d [https://youtu.be/TKrXyZr6UgM?si=c-WXIzqDHbl9bW4d] Quinn Slack (Sourcegraph): https://youtu.be/ZTLSMN8eISs?si=1WtChQh6UTvoFcbJ [https://youtu.be/ZTLSMN8eISs?si=1WtChQh6UTvoFcbJ] Mati Staniszewski: https://youtu.be/ImknDhWdDkQ?si=3C-3vWpvou-0pAuU [https://youtu.be/ImknDhWdDkQ?si=3C-3vWpvou-0pAuU] Victor Riparbelli: https://youtu.be/5OS3pZ3yXrg?si=AB8v10U80zyUpv3p [https://youtu.be/5OS3pZ3yXrg?si=AB8v10U80zyUpv3p] Resources: Cursor acquiring Graphite: https://graphite.com/blog/graphite-joins-cursor [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/ [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 [https://ampcode.com/free] Kilo Code: https://kilo.ai/ [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 [https://groq.com/newsroom/groq-and-nvidia-enter-non-exclusive-inference-technology-licensing-agreement-to-accelerate-ai-inference-at-global-scale] Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh Ask us questions: podcast@tessl.io

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 • 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 [https://www.linkedin.com/in/anatomic/?originalSubdomain=uk] Wesley Reisz: https://www.linkedin.com/in/wesreisz/ [https://www.linkedin.com/in/wesreisz/] Sepehr Khosravi: https://www.linkedin.com/in/sepehrkhosravi/ [https://www.linkedin.com/in/sepehrkhosravi/] David Stein: https://www.linkedin.com/in/steindavidj/ [https://www.linkedin.com/in/steindavidj/] Simon Maple: https://www.linkedin.com/in/simonmaple/ [https://www.linkedin.com/in/simonmaple/] Tessl: https://www.linkedin.com/company/tesslio/ [https://www.linkedin.com/company/tesslio/] AI Native Dev: https://www.linkedin.com/showcase/ai-native-dev/ [https://www.linkedin.com/showcase/ai-native-dev/] Resources: AI Scouts - https://aiscouts.org/ [https://aiscouts.org/] Thoughtworks’ knowledge base insights - https://www.thoughtworks.com/en-sg/insights/blog/generative-ai/deep-kernel-level-AI-RCA-with-MCP [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 [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/ [ https://forum.cursor.com/t/i-created-an-amazing-mode-called-riper-5-mode-fixes-claude-3-7-drastically/] Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh Ask us questions: podcast@tessl.io