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

Is Your Team Ready for AI-Driven Modernization? | Birgitta Böckeler

Can AI Really Build Enterprise-Grade Software? | Maor Shlomo & Base44

In this episode of the AI Native Dev podcast, Guy Podjarny interviews Maor Shlomo, the founder of Base44, an AI app builder. Maor discusses Base44's opinionated approach to building full-stack functional applications, emphasizing its "Batteries Included App Builder" concept, which provides built-in user management, dat...

Transforming Dev Practices with Kiro’s Spec-Driven Tools | Nikhil and Richard

In this episode of The AI Native Dev, Simon Maple interviews Nikhil Swaminathan and Richard Threlkeld from Kiro about spec-driven development and their new agentic IDE, Kiro. They discuss how Kiro aims to solve the problem of lost decision-making context in vibe coding by using specifications. Richard explains the phil...

Transforming Debugging and Root Cause Detection with Sentry | David Cramer

In this episode of the AI Native Dev podcast, David Cramer, co-founder of Sentry, discusses building with AI from two perspectives: how to build AI-powered tools and how to use AI in software development. Cramer shares Sentry's experiences with applying LLMs to improve error deduplication and root cause analysis, highl...

Why Tracking AI Usage Drives Better Results | Justin Reock & DX

In this episode of The AI Native Dev, Simon Maple interviews Justin Reock, Deputy CTO at DX, about measuring the effectiveness of AI in software development. They discuss the importance of measuring AI's impact beyond code generation, focusing on developer productivity, code quality, and maintainability. Justin introdu...

What Next Gen AI Infra, Voice and Video Looks Like | Datadog, Eleven Labs and Synthesia

What If Fixing Code Wasn’t Your Job Anymore? | Jonathan Schneider & Moderne

Why AI Coding Agents Are Here To Stay | Patrick Debois

The Graph Layer Behind NASA’s Breakthroughs | Michael Hunger

In this episode of The AI Native Dev podcast, Simon Maple interviews Michael Hunger, now in Product Innovation at Neo4j, about graph databases and their applications in AI. They discuss the advantages of graph databases over relational databases, especially in representing relationships and context, and how graph datab...

The Missing Gap In Workflows For AI Devs | Baruch Sadogursky

In this episode of The AI Native Dev podcast, Simon Maple interviews Baruch Sarogursky at the AI Focus conference in Stockholm. They discuss the challenges of trusting AI-generated code and introduce the concept of the "Intent Integrity Chain" to ensure code reliability. They explore how specifications (specs), written...

Why LLMs Keep Missing This One Thing | Jason Ganz

CTO of $7B Snyk Talks AI Security, Risky Software & Enterprise Adoption

The $2B Nvidia Backed AI Video Platform

Why the Top 1% of Devs Love IntelliJ | Anton Arhipov

How This Broadcom Dev Uses Spring to Power AI Workflows | Josh Long

One CEO’s Plan to Rebuild How We Deploy AI | Ron Eforni & Flox

Vibe Coding SimCity II: Injecting Chaos with Natural Disasters and AI Tools

Vibe Coding SimCity: Prototyping Tiny Towns with AI Dev Tools

Exploring LLM Observability with Traceloop's Gal Kleinman

From Builder to Orchestrator—Confronting the Software Engineer’s Identity Crisis

In this episode of "The AI Native Dev," Simon Maple interviews Annie Vela, a distinguished engineer at Westpac in New Zealand, about her blog post, "The Software Engineering Identity Crisis." Annie discusses the changing role of software engineers with the introduction of AI coding assistants, the potential loss of ide...