The AI Native Dev - from Copilot today to AI Native Software Development tomorrow
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Welcome to The AI Native Developer, hosted by Guy Podjarny and Simon Maple. Join us as we explore and help shape the future of software development through the lens of AI. In this new paradigm of AI Native Software Development, we delve into how AI is transforming the way we build software, from tools and practices to the very structure of development teams.Our target audience includes developers and development leaders eager to stay ahead of the curve. If you're passionate about the future of software development and curious about how to leverage AI to build effective teams and groundbreaking software, this podcast is for you.Each week, we bring you insights into the latest AI tools and best practices, keeping you up-to-date with the cutting-edge advancements in the industry. Additionally, every two weeks, we present deep dives with experts and leaders in the AI and software development space, offering a glimpse into the future of AI development.Tune in to discover how AI will revolutionize your workflows, roles, and organizations. Get inspired by the latest tools and best practices, and prepare to be part of the next generation of software development.
Episodes
Mentioned books
Sep 2, 2025 • 57min
Is Your Team Ready for AI-Driven Modernization? | Birgitta Böckeler
Birgitta Böckeler, a Distinguished Engineer at ThoughtWorks and expert in AI-driven software development, shares her insights on legacy modernization. She discusses the limitations of relying solely on AI for code migration, emphasizing the need for proven engineering practices. The conversation addresses the evolving roles of developers as managers of AI workflows and the need for a disciplined approach to refactor instead of rewrite. Birgitta highlights the importance of balancing AI creativity with deterministic tools for successful legacy transitions.
12 snips
Aug 26, 2025 • 56min
Can AI Really Build Enterprise-Grade Software? | Maor Shlomo & Base44
Maor Shlomo, founder of Base44, discusses the revolution in software development using AI tools. He shares insights on simplifying tech stacks and the advantages of smaller, agile teams over larger ones. Their conversation dives into the importance of documentation in AI projects and the shift from traditional coding to user-friendly interfaces. Maor also highlights how AI enhances testing methodologies and anticipates the future trajectory of AI-driven software development. Prepare for a fascinating look at the intersection of AI and enterprise software!
Aug 19, 2025 • 1h 10min
Transforming Dev Practices with Kiro’s Spec-Driven Tools | Nikhil and Richard
Nikhil Swaminathan, Head of Product at Kiro IDE, and Richard Threlkeld, Principal Engineer at Kiro IDE, dive into the realm of spec-driven development. They discuss how this methodology shifts focus from code writing to understanding system behavior, aiding in code maintenance. The duo emphasizes the importance of composable documents for better collaboration and refactoring. They also highlight the evolution of specifications, the role of AI in enhancing team communication, and the benefits of test-driven development in software projects.
29 snips
Aug 12, 2025 • 50min
Transforming Debugging and Root Cause Detection with Sentry | David Cramer
David Cramer, co-founder of Sentry, discusses innovations that help over 4 million developers ship software faster. He delves into the use of LLMs and how Sentry’s extensive app data network enhances debugging. David also touches on the emergence of tools like SEER for error detection and the challenges of managing complex data. He shares insights on modern coding practices, emphasizing the balance between automation and quality, while advocating for a proactive mindset to navigate evolving technologies.
28 snips
Aug 5, 2025 • 52min
Why Tracking AI Usage Drives Better Results | Justin Reock & DX
Justin Reock, CTO at DX and an expert in measuring AI’s impact on software engineering, joins the conversation to explore the intricacies of AI integration in development. He highlights the difference between meaningful adoption and simply following trends. Topics include the dual levers of velocity—quality and maintainability—how proper measurement can drive real results, and the significant boost AI brings to developer productivity across the software development lifecycle. Insights into effective metrics for AI usage also take center stage.
13 snips
Jul 29, 2025 • 34min
What Next Gen AI Infra, Voice and Video Looks Like | Datadog, Eleven Labs and Synthesia
Olivier Pomel, CEO of Datadog, shares insights on AI-driven observability and the challenges of accuracy in automated systems. Mati Staniszewski, CEO of ElevenLabs, discusses the hurdles in creating AI dubbing solutions and the technical breakthroughs that followed. Victor Riparbelli, CEO of Synthesia, reveals the early struggles of video generation and how they secured investment from Mark Cuban. The trio explores the emotional depth AI can add to digital content, emphasizing the transformative impact of these technologies on communication and user trust.
14 snips
Jul 22, 2025 • 37min
What If Fixing Code Wasn’t Your Job Anymore? | Jonathan Schneider & Moderne
Jonathan Schneider, co-founder and CEO of Moderne, shares insights on revolutionizing code refactoring. He discusses how teams leverage their rewrite engine to tackle technical debt directly and facilitate organizational change. The conversation dives into AI's role in code management, exposing the limits of LLMs and emphasizing the balance between automation and human oversight. Schneider reveals the transformative potential of using tools like Open Rewrite for code migration and highlights the importance of open-source integration in enhancing code analysis across projects.
20 snips
Jul 15, 2025 • 49min
Why AI Coding Agents Are Here To Stay | Patrick Debois
In this insightful discussion, Patrick Debois, the pioneering creator of DevOps, shares his experiences from the AI Engineering World Fair. He tackles how AI coding agents are reshaping software development and the crucial role of clear specifications in guiding these agents. Debois reveals why running agents locally is becoming outdated and dives into the emerging concept of 'model specs' from OpenAI. The conversation emphasizes the need for continuous adaptation by developers, as they harness AI's potential to enhance productivity and streamline complex code integration.
Jul 8, 2025 • 36min
The Graph Layer Behind NASA’s Breakthroughs | Michael Hunger
Michael Hunger, VP of Product Innovation at Neo4j, reveals the game-changing potential of graph databases in AI. He discusses how structured relationships in data uncover intent, addressing the black-box issue in vector-based approaches. Michael emphasizes the benefits of modeling business intent and highlights innovative use cases like fraud detection. The conversation also covers MCP's role in enhancing developer productivity and security best practices, showcasing a grassroots movement in graph technology that’s revolutionizing AI development.
56 snips
Jul 1, 2025 • 49min
The Missing Gap In Workflows For AI Devs | Baruch Sadogursky
Baruch Sadogursky, Head of Developer Relations at TuxCare, dives deep into the critical role of automated integrity in AI outputs. He discusses the “intent-integrity gap” between human goals and LLM outputs, highlighting why developers must maintain their roles amidst evolving AI technologies. Baruch emphasizes the need for rigorous testing and structured methodologies in code generation, while also exploring the importance of adaptable specifications in this new landscape. Trust in AI-generated code is crucial, and he underscores the balance between creativity and accuracy in LLMs.
