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

We’re holding probabilistic systems to deterministic standards. In this episode of AI Native Dev, Simon Maple talks with Maria Gorinova, Member of Technical Staff at Tessl, about the mismatch between how developers...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

Patrick Debois, the mind behind “DevOps,” joins Simon Maple to unpack the system-level shifts AI is driving across software engineering, drawn from what he saw firsthand at the AI Engineer’s World Fair. They also get...

Michael Hunger of Neo4j, joins Simon Maple to unpack how graph databases inject structure, intent, and traceability into modern AI systems. On the docket: why relationships in data encode intent the black-box problem in...

Baruch Sadogursky, Head of Developer Relations at TuxCare, joins Simon Maple to explore why automated integrity needs to be built in before we rely on AI outputs. On the docket: the difference between specs and tests...

Can LLMs replace structured systems to scale enterprises? Jason Ganz, Senior Manager DX at dbt Labs, joins Simon Maple to unpack why, despite the rapid rise of AI systems, enterprises still rely on structured data for...