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

Latest Episodes:

Ryan Lopopolo: OpenAI's Framework for Shipping Code at 70 PRs/Week Jun 09, 2026

Show notes

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 the asynchronous CI jobs that catch slop before it compounds.
We sat down with Ryan at AI Native DevCon London 2026, and he got into the specifics: how his team went from 3.5 PRs per engineer per week to 70, why he inverts spec-driven development (build the code first, distill the spec second), and what he means when he says it's "borderline negligent" not to use a billion tokens a day.
It's one of the most grounded, production-focused conversations we've had on The AI Native Dev. The trailer is live now — and the full episode drops this week.
#HarnessEngineering #AINativeDev #SoftwareEngineering

Why Developers Hit a Wall at 4 AI Agents Jun 02, 2026

Show notes

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 we cover:

Why experienced engineers hit a hard ceiling at 4 concurrent agents, and what it would take to break through it
The 80/20 vs 60/40 merge rate gap between human and AI-generated pull requests — and what's actually causing it
How AI adoption reached 71% weekly active usage across 250K developers, and what "depth of use" really means
Why 2026 is the year the CFO gets involved — and how engineering leaders should prepare to show their receipts
The biggest misconception engineering leads have about what it takes to get to true AI-native development
Why companies have jet engines but are still building cars, and what the real architectural changes look like

Links:

🌐 Tessl: https://tessl.io

🔔 Subscribe for weekly episodes on AI-native development

If you're an engineering leader trying to make sense of the gap between the AI hype and what's actually showing up in production, drop your take in the comments.

Don't Secure the Code. Secure the Coder. May 26, 2026

Show notes

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 Stepanyan (OWASP London), and a full recording of Guy's keynote on why agentic development demands a fundamentally different approach to security.

What we cover:

Why shadow AI is the new shadow IT — and why CISOs can't secure what they can't see
Skills as a new supply chain attack surface (malicious, vulnerable, and negligent skills)
Why more context is not always better — and what the data says about focused skill design
The OWASP Top Ten for Agentic AI and what it means for teams building today
Why security must become agentic to keep up with the attackers who already are
The Context Development Lifecycle (CDLC) and how leading orgs are using it

Links: 🌐 Tessl: https://tessl.io

Subscribe for weekly episodes on AI-native development

What's the biggest security risk your team isn't talking about when it comes to agentic development? Drop it in the comments.

The Hidden Security Risks of AI Coding Agents May 19, 2026

Show notes

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 surface
How text and markdown files have become a new class of vulnerability
Slop squatting: the attack vector created by agents hallucinating package names
The context supply chain — and why it mirrors the early days of npm security
What a "CBOM" (context bill of materials) might look like and why we may need one
How to think about agent trust using the contractor mental model

Chapters:

00:00 Introduction

01:40 The Lethal Trifecta: why agents are inherently risky

03:23 Same hygiene, higher stakes

04:08 Text as a vulnerability: markdown as a security risk

06:08 Do AI tools make you more or less secure?

08:09 Snyk + Tessl: scanning skills in the registry

10:10 The context supply chain problem

14:28 The CBOM: do we need a context bill of materials?

17:35 Secrets, credentials, and principle of least privilege

22:25 Balancing security with developer velocity

36:54 One piece of advice for CTOs going all-in on AI

Links:

🌐 Tessl: https://tessl.io
Subscribe for weekly episodes on AI-native development

If you're thinking about AI governance in your team, drop a comment — how are you handling context supply chain today?

"AI Doesn't Stand for Artificial Intelligence" — Venkat Subramaniam's Take Will Change How You Think About It May 12, 2026

Show notes

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 it, why you can delegate work to AI but never your reputation, and tells the story of a $2 million feature that got cancelled with one simple question: "Why are we building this?"

🔑 Topics covered:

— Why "Accelerated Inference" is a more honest name for AI

— The code quality crisis AI has inherited from decades of bad human code

— Accountability, lawsuits, and professional responsibility in the AI era

— What makes a senior developer

— and why AI widens that gap

— The one question that should precede every feature decision

— Why vibe coding is the most overrated AI trend right now

🎙️ Guest: Venkat Subramaniam — author, educator, and co-creator of Arc of AI

🎙️ Host: Simon Maple

📅 Recorded live at Arc of AI, Austin

🔔 Subscribe for weekly conversations with practitioners (not vendors) building with AI.

🎧 Listen on Spotify / Apple Podcasts — search "AI Native Dev"

🌐 Community & events: tessl.io/community

The Creator of Spring Thinks You Can't Code Serious Software With AI May 05, 2026

Show notes

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 Embabel — the new JVM-native agentic framework he's building — including how it borrows its planning algorithm from NPC AI in video games, why he's skeptical of MCP despite its hype, and the AI failure pattern he keeps seeing in large enterprises.

Whether you're a Java developer navigating the AI wave or a tech lead trying to figure out where to actually invest, this is essential listening.
Topics covered:
0:00 Intro — Rod Johnson, Spring creator, returns to building
5:16 PhD in 19th century Parisian piano music (yes, really)
6:15 What made Rod come back and build Embabel
7:36 "The universe would end before Python could execute inference"
13:08 The #1 enterprise AI failure pattern Rod keeps seeing
16:23 "You cannot vibe code serious software"
19:37 Why Embabel uses a video game NPC planning algorithm
27:47 Why Rod is an MCP skeptic
53:54 "This is the last wave of frameworks chosen by people"
Links:
🔗 Embabel: https://embabel.com
🎟 AI Native Dev London (June 1–2): https://ainativedev.io — use code POD30 for 30% off.

Subscribe for weekly conversations with the engineers and founders building the future of AI-native development.

What OpenAI, Stripe & ElevenLabs Devs Do Differently Now | AI Native Dev Apr 28, 2026

Show notes

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 difference between general-purpose models vs specialized domain models
To catch conversations like these in person, register for AI DevCon in London on 1st and 2nd June 2026.

Logan Kilpatrick on Who Ships AGI, DeepMind and the Problem With More Software Apr 21, 2026

Show notes

"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 AI
AGI will be a product, not a model
The way you used AI tools three months ago is already wrong
What's actually changing inside the Gemini team and why it matters for developers building with it today

The developers who win won't be the ones who mastered today's tools. They'll be the ones who never stopped learning the new ones.
Building AI-native? AI DevCon is coming to London, 1st and 2nd June 2026: https://tessl.io/devcon/
Connect with us here:

Simon Maple: https://www.linkedin.com/in/simonmaple/
Logan Kilpatrick: https://www.linkedin.com/in/logankilpatrick/
Google DeepMind: https://www.linkedin.com/company/googledeepmind/
Tessl: https://www.linkedin.com/company/tesslio/?originalSubdomain=uk

Everything 100 Episodes Revealed About AI Native Dev Apr 14, 2026

Show notes

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 development
Why humans become the bottleneck in code review
What changes when agents run the SDLC end-to-end
Adoption across orgs vs depth of actual usage

Thanks to every guest and every listener who made this possible. On to the next hundred.
Want to have these conversations in person? AI DevCon is coming to London on 1st and 2nd June, 2026.
Book your tickets here - https://tessl.io/devcon/
Connect with us here:

Guy Podjarny- https://www.linkedin.com/in/guypo/
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/

How DeepSeek leveraged Qwen and Llama to build its model in $5M Apr 07, 2026

Show notes

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 now
how DeepSeek built a frontier model for $5 million instead of $100 million
why Chinese developers are already on Kimi and the west is sleeping on it
what the west needs to learn from China's open source strategy before it is too late

Eight companies already control the world's digital infrastructure. We cannot let that happen again with AI.
Connect with us here:

Simon Maple: https://www.linkedin.com/in/simonmaple/
Amanda Brock: https://www.linkedin.com/in/amandabrocktech/
OpenUK: https://www.linkedin.com/company/openuktechnology/?originalSubdomain=uk
Tessl: https://www.linkedin.com/company/tesslio/

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