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

Six people reacted to Boris's side-project Slack post. A year later, Claude Code is ubiquitous, and the company just launched its next evolution: Claude Tag, an AI teammate that lives in Slack. Lamis Mukta, Member of Technical Staff at Anthropic, joins Simon Maple to unpack how Claude Tag works, why Anthropic built it, and what it took internally to go from a scrappy side project to a company...

What if the whole point of your AI agent was to eventually make itself redundant? Dru Knox, Head of Product at Tessl, introduces the Tessl agent — a new interface built not just for AI-assisted coding, but for building the software factory that keeps improving without constant human input. This is a conversation about loop engineering: how to set up automated feedback cycles so your agents get sma...

Enterprises are finally being forced to care about their software development lifecycle — not because anyone suddenly got disciplined, but because agents cost money and the waste is now visible. When it was humans, it was "Timmy's just lazy." Now it's a line item.  Simon Maple sat down with Patrick Debois (the godfather of DevOps, now DevRel at Tessl), Tammuz Dubnov (co-founder...

From the expo floor of AI Native DevCon London, Simon Maple went straight to the developers — speakers, attendees, and sponsors — to ask what's actually working with AI in 2026. The verdict? Outcomes beat outputs every time, 4,000-hour workloads are collapsing to 20 minutes, and the real bottleneck isn't code. This is a conference floor walkthrough: honest, unscripted takes on harness en...

What does it mean to build securely when agents can negotiate their own guardrails? And what happens to the web — CLIs, frameworks, even the browser itself — when the primary user is no longer human? At AI Native DevCon London, Simon Maple sat down with two panels of experts to find out.  First: a security roundtable with Joseph Katsioloudes from GitHub, Liran Tal from Snyk, and John Groetzinger f...

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 aroun...

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...

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....

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 t...

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 ep...

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...

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 guard...

"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 wil...

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 whe...

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 De...

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 a...

"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...

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...

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 count...

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...

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% baseli...

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 st...

"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...

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 a...

“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 figh...