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

Tessl
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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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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 He also highlights the risks of outdated MCPs, recommends entry points for using AI agents, and showcases how personal knowledge bases can help generate authentic content.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!
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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.
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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.
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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.
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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.
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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.
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28 snips
Sep 23, 2025 • 1h 2min

Can Agentic Engineering Really Deliver Enterprise-Grade Code? | Reuven Cohen

Reuven Cohen, founder of the Agentics Foundation and creator of Claude Flow, explores the transformative potential of agentic engineering. He reveals why 2025 is dubbed the 'Year of the Agent' and discusses how the discipline is evolving from niche to mainstream. The conversation dives into the challenges of AI-washing in big corporations, the intricate balance of speed, quality, and cost in agent-based development, and how community-driven efforts can safeguard innovation against corporate dominance.
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61 snips
Sep 16, 2025 • 38min

Revolutionising Spec-Driven Development with Tessl’s Framework & Registry

Developers often spend more time fixing AI agent mistakes than creating features. Discover two groundbreaking tools from Tessl aimed at making specs the cornerstone of software development. Learn how a new dependency system for AI agents can streamline workflows and improve output validation. The hosts dive into the concept of 'vibe speccing' and the significance of community involvement in refining these innovations. Tune in for insights on navigating today's complexities in software development and the future of spec-driven practices.

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