Episodios

  • Why Every Developer needs to know about WebMCP Now
    Mar 31 2026

    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 expensive
    • what Web MCP is and how it gives agents a direct API into your website
    • how a 200MB Apple model running offline is opening up a whole new category of web apps
    • why every vibe coded app is a web app and what that means for the future of the web


    Your next visitor might not be human. Are you ready for that?

    Connect with us here:

    • Maximiliano Firtman: https://www.linkedin.com/in/firtman/?locale=es
    • Guy Podjarny: http://uk.linkedin.com/in/guypo
    • Tessl: https://www.linkedin.com/company/tesslio/

    Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh

    Ask us questions: podcast@tessl.io

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    1 h y 1 m
  • Stop Maintaining Your Code. Start Replacing It
    Mar 24 2026

    "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 specs your agents are making without you
    • why your system should work with the worst LLM, not just the best

    If you're still thinking about your codebase the old way, this one will change that.

    Connect with us here:

    • Chad Fowler: https://www.linkedin.com/in/fowlerchad/
    • Blue Yard Capital: https://www.linkedin.com/company/blueyard-capital/
    • Guy Podjarny: https://uk.linkedin.com/in/guypo
    • Tessl: https://www.linkedin.com/company/tesslio/

    Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh

    Ask us questions: podcast@tessl.io

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    1 h y 2 m
  • We Scanned 3,984 Skills — 1 in 7 Can Hack Your Machine
    Mar 17 2026

    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 secure
    • How a trusted skill can update silently and start offloading your credentials
    • What prompt injection actually looks like inside a skill file
    • Why vibe coding makes the attack surface bigger, not smaller
    • How the Snyk agent scan catches what you'd never spot manually


    Every skill on the Tessl registry now has a Snyk security scan attached. Check before you install.

    Connect with us here:
    Simon Maple: https://www.linkedin.com/in/simonmaple/
    Brian Vermeer: https://www.linkedin.com/in/brianvermeer/
    Snyk: https://www.linkedin.com/company/snyk/
    Tessl: https://www.linkedin.com/company/tesslio/

    Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh

    Ask us questions: podcast@tessl.io

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    35 m
  • The Greatest Time to Build a Startup (The AI-Native Advantage)
    Mar 10 2026

    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.

    On the docket:

    • Why bad engineering practices get worse, not better, with AI agents
    • The exact conditions that make your agent hallucinate every time
    • Why your AGENTS.md is quietly working against you
    • How to manage context before it kills your productivity
    • What enterprise AI rollout actually looks like at scale
    • Why the worst managers get the most out of agentic coding


    If your team is adding AI and wondering why things aren't getting faster, this episode is for you.

    Connect with us here:
    Daniel Jones: https://www.linkedin.com/in/danieljoneseb/
    Simon Maple: https://www.linkedin.com/in/simonmaple/
    Tessl: https://www.linkedin.com/company/tesslio/

    Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh

    Ask us questions: podcast@tessl.io

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    1 h y 2 m
  • Why Your Agent Needs Memory, Not Just Context
    Mar 3 2026

    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 down
    • the job title that is replacing prompt engineers
    • file systems vs databases for agent memory (and why one gets you hacked)
    • the memory trick that makes agents feel actually intelligent
    • why the agent loop and training loop are about to become one


    The developers who figure this out first are going to be very hard to compete with.


    Connect with us here:

    • Richmond Alake: https://www.linkedin.com/in/richmondalake/
    • Simon Maple: https://www.linkedin.com/in/simonmaple/
    • Tessl: https://www.linkedin.com/company/tesslio/

    Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh

    Ask us questions: podcast@tessl.io

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    45 m
  • Cisco Principal Engineer's Fix for AI Code Security
    Feb 25 2026

    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 works
    • why Cisco open sourced it
    • the surprisingly simple method that gets agents to fix their own mistakes


    Try CodeGuard: cisco/software-security on the Tessl registry.

    Connect with us here:
    John Groetzinger: https://www.linkedin.com/in/john-groetzinger/
    Cisco: https://www.linkedin.com/company/cisco/
    Simon Maple: https://www.linkedin.com/in/simonmaple/
    Tessl: https://www.linkedin.com/company/tesslio/

    Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh

    Ask us questions: podcast@tessl.io

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    34 m
  • Why Context Beats Every Prompt You'll Ever Write
    Feb 17 2026

    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 a practical framework for building, evaluating, and distributing the context your agents actually need.

    In this episode:
    • Why agents fail without structured context about your internal platform
    • The 3 context layers: policies, platform docs, and application context
    • How to build regression evals and torture tests for your agents
    • The Context Development Lifecycle (CDLC) - a new loop for agentic dev

    Your agents are only as good as the context you give them.

    Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh

    Ask us questions: podcast@tessl.io

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    31 m
  • From IBM Acquisition to AI-Native Observability | Dash0 CEO
    Feb 10 2026

    "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 the AI era

    Only 2-3 people in most companies can truly debug production. That knowledge lives in their heads and disappears when they leave. Mirko's betting agents will change that.

    Connect with us here:
    Mirko Novakovic
    : https://www.linkedin.com/in/mirkonovakovic/
    Dash0: https://www.linkedin.com/company/dash0hq/
    Guy Podjarny: https://www.linkedin.com/in/guypo/
    Tessl: https://www.linkedin.com/company/tesslio/

    Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh

    Ask us questions: podcast@tessl.io

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    57 m