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    Technology

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

    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.

    Advertise
    • Apple Podcasts
    • Google Play
    • Spotify

    Latest Episodes:
    How Too Much Information Destroys Agent Performance Jan 20, 2026
    Show notes

    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 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/
    Robert Brennan: https://www.linkedin.com/in/robert-a-brennan/
    Simon Maple: https://www.linkedin.com/in/simonmaple/
    Tessl: https://www.linkedin.com/company/tesslio/
    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 Jan 13, 2026
    Show notes

    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
    Macey Baker: https://youtu.be/ENL9WJ93fVU?si=ffDkY4OYxVxKlCOc
    Maksim Shaposhnikov: https://youtu.be/BQbuAykmleQ?si=u_dDLkNKNgCq10ax
    Yaniv Aknin: https://youtu.be/WjMy0JFTQZ0?si=yoFbEvoWhsIicetw
    Merrill Lutsky: https://youtu.be/kH_Z_k6hIwg?si=-4R1Yv45pRO2LcKq
    Samuel Messing (Slack): https://youtu.be/jCVvVVXcxbQ?si=o004uK9g6xIKxiMp
    Maor Shlomo (Base44): https://youtu.be/TKrXyZr6UgM?si=c-WXIzqDHbl9bW4d
    Quinn Slack (Sourcegraph): https://youtu.be/ZTLSMN8eISs?si=1WtChQh6UTvoFcbJ
    Mati Staniszewski: https://youtu.be/ImknDhWdDkQ?si=3C-3vWpvou-0pAuU
    Victor Riparbelli: https://youtu.be/5OS3pZ3yXrg?si=AB8v10U80zyUpv3p
    Resources:
    Cursor acquiring Graphite: 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/
    Amp: https://ampcode.com/free
    Kilo Code: 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


    What AI Engineering Looks Like at Meta, Coinbase, ServiceTitan and ThoughtWorks Jan 06, 2026
    Show notes

    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
    Wesley Reisz: https://www.linkedin.com/in/wesreisz/
    Sepehr Khosravi: https://www.linkedin.com/in/sepehrkhosravi/
    David Stein: https://www.linkedin.com/in/steindavidj/
    Simon Maple: https://www.linkedin.com/in/simonmaple/
    Tessl: https://www.linkedin.com/company/tesslio/
    AI Native Dev: https://www.linkedin.com/showcase/ai-native-dev/
    Resources:
    AI Scouts - https://aiscouts.org/
    Thoughtworks’ knowledge base insights - 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
    Cursor’s community forum - https://forum.cursor.com/t/i-created-an-amazing-mode-called-riper-5-mode-fixes-claude-3-7-drastically/


    What Developers Need To Know About Agents Before 2026 Dec 30, 2025
    Show notes

    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 works, where it breaks, and how guardrails protect long-term software
    • Maksim Shaposhnikov on developer autonomy, IDE vs terminal agents, and designing for delegation
    This episode looks ahead to 2026 and examines the systems developers will be responsible for next.
    Connect with us here:
    1. Reuven Cohen: https://www.linkedin.com/in/reuvencohen/?originalSubdomain=ca
    2. Maor Shlomo: https://www.linkedin.com/in/maor-shlomo-1088b4144/?originalSubdomain=il
    3. Maksim Shaposhnikov: https://www.linkedin.com/in/maxshapp/?originalSubdomain=uk
    4. Simon Maple- https://www.linkedin.com/in/simonmaple/
    5. Tessl- https://www.linkedin.com/company/tesslio/
    6. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/


    Why Faster AI Development Often Increases Rework | Cian Clarke Dec 23, 2025
    Show notes

    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, 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. Cian Clarke- https://www.linkedin.com/in/cianclarke/
    2. Simon Maple- https://www.linkedin.com/in/simonmaple/
    3. Tessl- https://www.linkedin.com/company/tesslio/
    4. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/


    Building an AI Agent in 100 Lines of Code | Yaniv Aknin Dec 16, 2025
    Show notes

    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 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. Yaniv Aknin- https://www.linkedin.com/in/yanivaknin/
    2. Simon Maple- https://www.linkedin.com/in/simonmaple/
    3. Tessl- https://www.linkedin.com/company/tesslio/
    4. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/


    How New Libraries Saw a 50% Improvement | Maria Gorinova Dec 09, 2025
    Show notes

    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 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.
    Check out the article - https://tessl.io/blog/proposed-evaluation-framework-for-coding-agents/
    Connect with us here:
    1. Maria Gorinova- https://www.linkedin.com/in/mariagorinova/
    2. Simon Maple- https://www.linkedin.com/in/simonmaple/
    3. Tessl- https://www.linkedin.com/company/tesslio/
    4. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/


    Agent Experience Is the New Developer Experience | Sean Roberts Dec 03, 2025
    Show notes

    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 agent


    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. Sean Roberts- https://www.linkedin.com/in/developsean/
    2. Simon Maple- https://www.linkedin.com/in/simonmaple/
    3. Tessl- https://www.linkedin.com/company/tesslio/
    4. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/


    What Holds Devs Back From Multi-Agent Thinking | Guy Podjarny Nov 26, 2025
    Show notes

    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 and new libraries.
    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. Guy Podjarny- https://www.linkedin.com/in/guypo/
    2. Simon Maple- https://www.linkedin.com/in/simonmaple/
    3. Tessl- https://www.linkedin.com/company/tesslio/
    4. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/
    Join our AI Native Dev Community: https://discord.com/invite/jbb2vHnHZQ?utm_source=footer&utm_medium=tessl+website&utm_campaign=community


    The Hidden Vulnerabilities Behind AI Code | René Brandel Nov 18, 2025
    Show notes

    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, scalable specification format must solve for in real workflows.
    Register now to AI Native DevCon - https://ainativedev.io/devcon
    Connect with us here:
    1. René Brandel - https://www.linkedin.com/in/renebrandel/
    2. Simon Maple - https://www.linkedin.com/in/simonmaple/
    3. Tessl - https://www.linkedin.com/company/tesslio/


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