The AI Native Dev - from Copilot today to AI Native Software Development tomorrow
Tessl
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
4 snips
Dec 3, 2025 • 31min
Agent Experience Is the New Developer Experience | Sean Roberts
Sean Roberts, VP of Applied AI at Netlify, dives into the world of agent experience and its critical role in software development. He argues that understanding how agents operate is essential for modern codebases. Sean tackles issues like the fragmentation caused by individual tool sprawl, the importance of context files to prevent AI hallucinations, and the need for knowledge graphs in large repositories. He also emphasizes the value of feedback loops for continuous improvement and advocates for shared tools that transform teams from solo acts into powerful collaborative units.
28 snips
Nov 26, 2025 • 34min
What Holds Devs Back From Multi-Agent Thinking | Guy Podjarny
Guy Podjarny, Founder and CEO of Tessl and a serial entrepreneur in developer tooling, dives into the evolution of AI-augmented development. He explains how to bridge the capability-reliability gap with agents and advocates for context engineering as a vital part of the development process. Guy stresses the need for statistical measurement to assess agent success and shares insights on optimizing documentation with Tessl tiles for enhanced efficiency. He also highlights the significance of cross-team collaboration and the importance of keeping knowledge adaptable for various agents.
33 snips
Nov 18, 2025 • 1h 2min
The Hidden Vulnerabilities Behind AI Code | René Brandel
René Brandel, founder and CEO of Casco, shares his insights on autonomous security testing and the future of software development. He discusses how small teams with self-improving agents can outperform larger organizations in security. René emphasizes the importance of reliable specifications for high-quality features, the coexistence of vibe coding with spec-driven workflows, and the need for continuous automated testing. He also highlights rising vulnerabilities due to AI-assisted coding and advocates for integrating security into every stage of development.
24 snips
Nov 12, 2025 • 1h 10min
What Developers Can Build Next With AI
Join Baruch Sadogursky, an expert in specification-driven development, as he discusses the importance of compiling human-readable specs into trustworthy tests. Liran Tal from Snyk delves into the risks of relying on LLM-suggested security fixes, highlighting real-world vulnerabilities. Alex Gavrilescu, author of BacklogMD, explains minimal markdown tasks for AI agents to prevent 'vibe coding.' Lastly, Josh Long from Broadcom showcases Spring AI integrations for Java applications, emphasizing AI's seamless connection to existing business logic.
36 snips
Nov 3, 2025 • 53min
Claude, TypingMind, AMP & MCP Servers: The Future Dev
In this conversation, Alan Pope, Senior Developer Advocate at Tessl, dives into the intriguing world of Model Context Protocols (MCPs). He discusses how MCPs provide AI agents with structured access to development environments while ensuring human oversight. Alan emphasizes the trend towards spec-driven development, moving away from 'vibe coding'. He also highlights the risks of outdated MCPs, recommends entry points for using AI agents, and showcases how personal knowledge bases can help generate authentic content. Tune in for insights on navigating the future of AI in software development!
38 snips
Oct 28, 2025 • 58min
AI Agents Beyond Context Limits | Maksim Shaposhnikov
Maksim Shaposhnikov, a research engineer at Tessl, dives into the world of AI coding agents aimed at enhancing coding reliability. He contrasts the roles of bots, copilots, and autonomous agents, highlighting how sub-agents can operate independently to handle complex tasks. Maksim also emphasizes the importance of human oversight, even as agents autonomously generate prototypes and fix bugs. He shares insights on managing context limits, optimizing tool choices for developers, and the promising future of self-correcting agents.
16 snips
Oct 21, 2025 • 47min
Instant PR Feedback Without leaving GitHub | Merrill Lutsky on Graphite
Merrill Lutsky, Co-founder and CEO of Graphite, delves into the future of code review and AI's role in it. He discusses how AI dramatically increases the volume of pull requests and how Graphite's Agent provides instant feedback, helping catch bugs and enforce rules. Merrill also highlights the importance of context in AI reviews and the evolving role of developers as orchestrators of these technologies. He emphasizes that code review remains critical for knowledge sharing and learning, even as AI tools advance.
16 snips
Oct 14, 2025 • 46min
AI-First Project Management for Developers | Alex Gavrilescu on Backlog.md
Alexandru Gavrilescu, lead engineer and creator of Backlog.md, dives into innovative AI-driven project management. He discusses the crucial role of clear specifications for effective AI coding and how persistent agents can autonomously manage tasks. The conversation highlights the need to re-evaluate Agile methodologies in light of AI's capabilities, emphasizing the shift towards disposable software and faster prototyping. Alex also explores the balance of human review and automated processes, forecasting a future where agents continually coordinate tasks and improve efficiency.
15 snips
Oct 7, 2025 • 51min
Redefining Developer Workflows in the AI Era with MCP | Steve Manuel
Steve Manuel, Founder and CEO of Delibso, discusses the groundbreaking MCP protocol that ensures safe AI integrations. He explains how mcp.run allows developers to utilize shared servers without losing control, making experimentation safer. Manuel highlights the importance of plugin-safe AI for developer tools, the risks of untrusted MCP servers, and emphasizes that first-party code remains crucial in the AI landscape. Additional insights include automating workflows and the potential of multimedia interactions, redefining how applications function in the AI era.
17 snips
Sep 30, 2025 • 53min
How Slack AI Agents Accelerate Dev Productivity | Samuel Messing
In this conversation with Samuel Messing, VP of Engineering for Search and AI at Slack, listeners dive into the world of enterprise AI. Samuel emphasizes the critical role of context in enhancing productivity and reducing information overload. He highlights the innovative ‘AI Explain’ feature that synthesizes information for quicker comprehension. The discussion also touches on compliance measures for data safety, AI's role in development workflows, and the importance of curiosity and critical thinking as essential skills for future developers.
