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
11 snips
Dec 23, 2025 • 55min
Why Faster AI Development Often Increases Rework | Cian Clarke
Cian Clarke, Head of AI at NearForm, dives into the innovative BMAD approach, emphasizing clarity over rapid coding. He discusses the risks of 'vibe coding' and how BMAD helps in creating maintainable software. Cian also highlights the importance of understanding developer archetypes while tailoring spec-driven tools and the cultural shift required to scale AI-native software. As AI's role evolves, he debates how senior engineers can leverage their expertise more effectively in this changing landscape.
9 snips
Dec 16, 2025 • 43min
Building an AI Agent in 100 Lines of Code | Yaniv Aknin
Yaniv Aknin, a founding engineer at Tessl, shares his insights on enhancing AI agents through effective design and context. He explains the significance of built-in instructions that influence agent behavior and performance. The conversation dives into the surprising effectiveness of a 100-line Python nano agent and contrasts the tool philosophies of Codex and Claude. Yaniv also discusses how subagents improve flexibility and proposes innovative evaluation methods for agent performance. Prepare for a deep dive into the future of AI development!
Dec 9, 2025 • 42min
How New Libraries Saw a 50% Improvement | Maria Gorinova
Maria Gorinova, a member of the AI engineering team at Tessl and an expert in data science, dives into the challenges of using coding agents. She discusses how structured context can enhance reliability and improve adherence to abstractions by 35-50%. The conversation highlights common failure modes like hallucinations and version confusion. Maria also introduces Tessl's innovative registry tiles, which streamline library interactions and boost agent performance. The insights shed light on the evolving landscape of AI-driven software development.
11 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.
