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 ag...
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 ...
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, scalabl...
In this compilation, Simon Maple brings together Baruch Sadogursky (TuxCare), Liran Tal (Snyk), Alex Gavrilescu (Greentube), and Josh Long (Broadcom) to break down where AI-assisted development fails, and what teams must do to keep it reliable. On the docket: • why spec-compiled tests must come before letting AI generate code • the uncertainty around what “AI security engineering” actually means today • how Backlog.md stays minimal so agents can split work autonomously • how Spring shows AI ...
How do you give an agent the same visibility a human developer has, without giving it full control? Alan Pope, Senior Developer Advocate at Tessl, explains how Model Context Protocols (MCPs) give AI agents structured access to dev environments, enabling tools like Claude Code and TypingMind to read, build, and execute safely under human oversight. On the docket: • how MCPs enable hybrid collaboration, letting agents take controlled actions inside local environments while surfacing every cha...
Bots follow scripts. Assistants wait for your commands. Agents act autonomously. Maksim Shaposhnikov, AI Research Engineer at Tessl, joins Simon Maple to unpack the capabilities of AI coding agents, including how developers can test and trust the code they generate. On the docket: • how sub-agents operate independently, maintaining their own context windows to handle complex tasks without overloading the main agent. • why human-in-the-loop oversight is still essential, even as agents can a...
As AI outpaces human review, latency compounds. On AI Native Dev, Graphite co-founder and CEO, Merrill Lutsky joins Guy Podjarny to explore how stack aware reviews remove friction and accelerate AI-native development. They also get into: • how Graphite’s architecture ensures traceability across AI generated commits • what engineering velocity means when code quality depends on alignment • why the next generation of developers will act more like managers of autonomous dev teams than individu...
Even the smartest AI agent starts as a blank slate. Alexandru Gavrilescu, creator of Backlog.md, and Simon Maple explore how to give AI the right context and specifications so it can deliver like a human teammate, and sometimes faster. On the docket: • why humans still matter for review, but AI can accelerate work beyond traditional sprints • the rise of persistent agents that proactively manage tasks and subagents • preparing for a world of disposable, single-use software and continuous d...
The risk of letting AI do more than autocomplete? It can quickly spin out of control. On this episode of AI Native Dev, Steve Manuel, founder and CEO of Dylibso, unpacks MCP, the protocol that keeps AI extensions safe and predictable, and dives into mcp.run, his framework for tapping into shared MCP servers without losing control. With Simon Maple he shares: • why plugin-safe AI might be the most significant shift in developer tooling this decade • how mcp.run isolates compute to prevent AI...
AI only becomes effective in workflows when it speaks the language of the enterprise. In this episode of AI Native Dev, Simon Maple sits down with Samuel Messing, VP of Engineering for Search and AI at Slack, to explore how they are tackling one of AI’s toughest challenges: managing enterprise context at scale for 80% of the Fortune 100. On the docket: • why understanding context is critical for enterprise AI • how Slack’s ‘AI Explain’ helps you make sense of information overload • how to m...
What makes 2025 the “Year of the Agent”? In this episode of AI Native Dev, Simon Maple joined Reuven Cohen, founder of the Agentics Foundation and creator of Claude Flow, to explore how agentic engineering went from a fringe experiment to a movement reshaping how developers build software. On the docket: • what makes “agentic engineering” a new profession, not just a buzzword • how hive minds and swarms mirror nature’s most efficient systems • why large compani...
Devs spend more time fixing agent mistakes than shipping features. On this episode of AI Native Dev, Guy Podjarny, founder & CEO at Tessl, and Simon Maple, Head of Developer Relations, announce two new products, the Tessl Framework and the Tessl Spec Registry, built to make specs the source of truth, keeping agents aligned with intent and code dependable. On the docket: • Why agent development needs its own dependency system • Using specs to create tests that validate agent outputs •...
Stephan Janssen, the mind behind Devoxx, calls this moment the “renaissance of development” and explains why AI-native workflows are rewriting what’s possible. On the docket: • how vibe coding cut months of setup and build into days • why “spec to code” loops beat pure prompting every time • what juniors gain from a universal AI tutor • why agents are the big theme for Devoxx Belgium 2025 AI Native Dev, AI Native Dev, powered by Tessl and our global dev community, i...
What does it mean to be a developer when AI writes most of the code? On this episode of AI Native Dev, Birgitta Böckeler, Distinguished Engineer at ThoughtWorks, joins Simon Maple to unpack how AI is changing legacy migrations, and why the real value comes from pairing LLMs with proven software engineering practices. They also get into: • why “AI alone” won’t solve legacy modernization • how codemods and deterministic tools amplify AI creativity • the reflex to rewrite vs. the discipline to...
AI coding is great for demos, but can it handle production apps? On this episode of AI Native Dev, Maor Shlomo, founder of Base44, joins Guy Podjarny to share how he built one of the first “batteries-included” AI app builders and what it reveals about building real software in the age of LLMs. They dive into: • why less complexity helps LLMs perform • how Base44 ships apps with databases and integrations built in • what smaller, high-context teams can do that big ones can’t • the path from ...
Rapid prototyping is fun, but maintaining it? Not so much. In this episode, Simon Maple is joined by Nikhil Swaminathan, Head of Product and Richard Threlkeld, Principal Engineer at Kiro IDE (AWS), to discuss how spec-driven development moves the focus from writing code to understanding and communicating system behavior, building software that is easy to understand so that developers can maintain code without losing clarity. They also explore: • Kiro’s philosophy on spec-driven development...
On this episode of AI Native Dev, David Cramer, co-founder of Sentry, joins Guy Podjarny to talk about what it really takes to ship faster with LLMs built into the workflow, and why over 4 million devs rely on Sentry to do it right. On the docket: • how Sentry’s moat is built on deeply interconnected app data • why David prefers Cursor over Claude • how a cynical mindset kills AI adoption before it begins AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast fo...
With AI adoption surging across orgs, Justin Reock, CTO at DX, joins Simon Maple to break down the difference between meaningful integration and just chasing trends. They also get into: • two levers of velocity: quality and maintainability. • why measuring real AI impact starts with knowing who’s using it and how • how AI supercharges developer productivity across the SDLC AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software developme...
In this compilation, Olivier Pomel (Datadog), Mati Staniszewski (ElevenLabs), and Victor Riparbelli (Synthesia) join Guy Podjarny to unpack what it takes to build category defining products in the AI native era. On the docket: • why root cause detection felt like sci-fi a few years ago, and what’s changed • the early challenges ElevenLabs faced as an audio first AI company • how Synthesia got Mark Cuban to invest in them AI Native Dev, powered by Tessl and our global dev community, is your ...
Jonathan Schneider, co-founder and CEO of Moderne, joins Simon Maple to share how real engineering teams are using Moderne’s rewrite engine to reduce technical debt at the source, and drive org-wide transformation. On the docket: the hard limit LLMs can’t scale pastwhy OpenRewrite uses a declarative frameworkthe real challenge: accessing the compiler’s truth 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...