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

Tessl
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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.
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38 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!
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32 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.
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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.
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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!
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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.
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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.
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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.
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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.
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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.

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