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
37 snips
Feb 3, 2026 • 45min
The End of Fragmented Agent Context
They reveal results from testing 1,000+ agent skills and which skills help or hurt agent performance. They explain why anecdotal evidence is not enough and show how systematic evals and task reviews catch surprises. They describe treating skills as versioned software with package management, CI/CD, and observability to make reuse reliable.
35 snips
Jan 27, 2026 • 57min
The Developer Skills That Will Actually Survive AI
Thomas Dohmke, former CEO of GitHub and startup founder now building AI-native developer tools. He contrasts startup agility with incumbent scale. He talks about AI-native workflows and agents changing how code gets written. He predicts agent-to-agent collaboration, composable toolchains, and says the enduring skill is learning how to learn.
47 snips
Jan 20, 2026 • 20min
How Too Much Information Destroys Agent Performance
Itamar Friedman, CEO of Qodo and an expert in multi-agent systems, joins Robert Brennan, CEO of OpenHands and AI orchestration specialist, to discuss the pitfalls of AI agent performance. They reveal that one-third of developer-reported AI output is incorrect and emphasize the critical difference between creative coding agents and structured review agents. Excessive information can hinder agent efficacy. Robert shares insights on scaling maintenance via cloud agents and breaking tasks into manageable parts, highlighting the need for human checks to build trust.
63 snips
Jan 13, 2026 • 1h 13min
Intelligence ≠ Knowledge: Why Context Beats Bigger Models
Join the hosts as they celebrate a million views by reflecting on the chaos of 2025 while forecasting a thrilling 2026. They discuss the transition from prompt engineering to context-based advantages and highlight the rise of agents as central to development. The conversation dives into ambitious predictions, like open models capturing enterprise markets and the increasing role of platforms like Slack. The challenges of context engineering and the future of solo startups versus larger teams also make for thought-provoking insights.
58 snips
Jan 6, 2026 • 1h 13min
What AI Engineering Looks Like at Meta, Coinbase, ServiceTitan and ThoughtWorks
Sepehr Khosravi is a machine learning platform engineer at Coinbase and runs the AI Scouts academy. David Stein, a principal AI engineer at ServiceTitan, is focused on applied AI for operations. Wesley Reisz, a Technical Principal at ThoughtWorks, leads AI-driven software projects. They discuss grassroots AI adoption strategies achieving 80% usage at Meta, ServiceTitan's rapid migration to automated metrics, and the innovative RIPR-5 framework for structured LLM workflows. Tune in for insights on treating AI like a collaborative engineer and empowering teams with effective AI tools!
40 snips
Dec 30, 2025 • 47min
What Developers Need To Know About Agents Before 2026
Reuven Cohen, Founder of the Agentix Foundation, shares insights on why most agent systems fail and the demands of agentic engineering. Maor Shlomo, Founder of Base44, discusses the boundaries of vibe coding, highlighting its effectiveness for non-developers and the importance of guardrails for maintaining software quality. Maksim Shaposhnikov from Tessl contrasts terminal workflows with IDE agents, focusing on developer autonomy and the design of systems that promote maintainability. Together, they explore the future of software development and the evolving role of agents.
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.
18 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!
13 snips
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.
