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

Jaksot

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  AWS's Marc Brooker: Specs, Not Code, Are the Hard Part 16.09.2026 56min

  Spec-driven development is reshaping what software engineers actually do all day, and Marc Brooker, VP and Distinguished Engineer at AWS, has read 3,000 to 4,000 postmortems that convinced him the code was never the hard part. In this episode of The AI Native Dev, Marc explains why testing and specification are now the real engineering work, why metastable failures keep taking down systems that look perfectly healthy, and why he still won't let AI write a single word of his blog. What we cov...
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  You Don't Need Juniors to Code. Hire Them Anyway. 08.09.2026 52min

  Coding agent reliability isn't a model problem, it's a gates problem. Ran Aroussi, creator of yfinance and founder of Automaze, argues that an "agentic workflow" is a contradiction in terms, and that the only thing standing between you and full autonomy is deciding where a human still signs off. He also thinks you stopped needing junior developers for their coding skills about a year ago, and that hiring them anyway is the only way the industry gets its next generation of architects. What we...
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  850 PRs a Week: How Tessl Runs a Software Factory 02.09.2026 51min

  The software factory that put up 850 pull requests in a week, with 85 to 90% of them handled by agents end to end. Tessl's Head of Product Dru Knox on how it actually got built, why it started with skills rather than automation, and the two things nobody expects a factory to change. Guy Podjarny digs into the skills-to-loops-to-factory path, and what breaks when you skip a step. What we cover: – What a software factory actually is, and how it differs from a pile of disconnected automations –...
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  Lada Kesseler: I Trust AI Tests Less Than AI Code 25.08.2026 45min

  Lada Kesseler's approach to loop engineering is brutally simple: give the agent one step, make it write the result to a file, then read it back and go again. She calls it a centrifuge. Spin fast enough and the stupid comes out. The Logic20/20 principal engineer has spent the last year and a half building the ground rules, skills and refinement loops that fight the defaults coding agents ship with, starting with an instruction to stop trying to please her. Along the way she explains why she t...
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  Every Repo Is a Software Factory Now | Don Syme, GitHub 18.08.2026 1t 4min

  Turning every repo into a software factory sounds like marketing until you see the machinery underneath. Don Syme, Principal Researcher at GitHub, breaks down continuous AI and GitHub Agentic Workflows, now in public preview. The short version: the agents are the easy part, the quality gates and guardrails are the work. Watch Don's AI DevCon Talk here: https://youtu.be/kbvqRWY-bUs What we cover: – What continuous AI is, and why it sits beside CI/CD rather than inside it – Why bounding the c...
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  The Background Check You Can't Run on an AI Agent 11.08.2026 47min

  The thing that makes an agent useful is the exact thing that makes it dangerous. Keycard co-founder Ian Livingstone breaks down why non-determinism is both the feature and the bug, and why identity, not model quality, is what really gates how much autonomy you can hand an agent. If you have ever clicked "always allow" without reading it, this one is about you. What we cover: – Why authentication was enough in the cloud era and stops being enough with agents – The background check you can't r...
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  Datadog Deleted All Its AI Context. It Worked. 04.08.2026 1t 1min

  Datadog's Language Foundations team deleted an entire folder of AI context files that had been carefully written and maintained for over a year, expecting a performance hit. Instead, their evals got better. Simon Boudrias, who runs Language Foundations at Datadog, walks Guy through what that taught his team about context rot, and the full journey of scaling AI coding agents to 4,000 engineers. What we cover: – How Datadog scaled Cursor and Claude Code to 4,000 engineers in under a year – Why...
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  Inside the Dark Factory: AI That Ships Code Solo 28.07.2026 58min

  At Tessl, 95% of the code shipped by their internal "Dark Factory" has never been looked at by a human, and the team still ships hundreds of pull requests a week, including through entire weekends. Rob Willoughby, who leads AI engineering at Tessl, joins Simon to open up the hood on how it actually works: the orchestrator, the verification layers, and the failures that forced the team to rebuild trust from scratch. What we cover: – How Tessl routes 65-70% of its own pull requests through an ...
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  BONUS: Snyk Found Malware Inside AI Agent Skills 23.07.2026 32min

  One Snyk developer's AI skill quietly handed their coding agent production credentials, and the security team found out the hard way. Krzysztof Huszcza, who leads AI security incubation at Snyk, joins this special Tessl and Snyk live stream to unpack the ToxicSkills research that uncovered 76 malicious agent skills in the wild, and what it actually takes to run coding agents safely at scale. What we cover: – How Snyk's security team found 76 malicious skills hiding inside a popular open agen...
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  From Living Room Hack to 30 AI Agents at Cyera 21.07.2026 1t 6min

  An engineer builds an AI agent to manage his own life, decides an unrestricted "does everything" agent is too dangerous to trust, and ends up creating the internal agent platform that now runs 30 agents across his entire company. Ori Shoshan, tech lead at Cyera, walks through the guardrails, citation system, and knowledge graph that turned "let the agent do anything" into "let the agent do exactly what it's supposed to, and nothing else." What we cover: – Why one engineer built his ow...
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  Patrick Debois Maps the Patterns of AI-Native Dev 14.07.2026 47min

  After DevOps, Patrick Debois has a new map. The godfather of DevOps returns to walk through his AI patterns research: how he tracks where AI-native development is heading by mining social signals instead of surveys, why the stack is settling into patterns worth learning, and why your AI budget problem is really an optimization problem. What we cover: – Inside the AI patterns site at Tessl.io/patterns and how it's auto-generated – The four layers of AI enablement: agent, team, platform, and o...
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  Inside Anthropic: How Claude Tag Is Changing Agentic Work 07.07.2026 57min

  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-wide habit. What we cover: – What Claude Tag actually is, and how it differs from Claude Code and C...
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  The Tessl Agent: Build Your Software Factory on Autopilot 30.06.2026 52min

  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 smarter, your code review gets tighter, and your team ships more without adding more toil. What we...
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  Why Agents Are Forcing Enterprises to Finally Fix Their Dev Process 25.06.2026 1t

  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 and CEO of Autonomy AI), and Daniel Jones (Head of Product at re:cinq) at AI Native DevCon London for a wide-ra...
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  BONUS: DevCon London: Real Talk on AI ROI, Harnesses & Evals 23.06.2026 23min

  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 engineering, evals, AI adoption mindsets, and the change management challenge that nobody talks about enough...
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  AI Security & the Agent-Ready Web: Experts Weigh In 16.06.2026 1t 2min

  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 from Cisco. Then: a web AI conversation with Dana Lawson from Netlify, Maximiliano Firt...
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  Ryan Lopopolo: OpenAI's Framework for Shipping Code at 70 PRs/Week 09.06.2026 55min

  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 ...
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  Why Developers Hit a Wall at 4 AI Agents 02.06.2026 47min

  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 ...
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  Don't Secure the Code. Secure the Coder. 26.05.2026 40min

  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...
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  The Hidden Security Risks of AI Coding Agents 19.05.2026 41min

  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 surfaceHow text and markdown files have b...