Happy Path Programming

We chat with Steve Manuel (of dylibso.com and mcp.run) about LLM "plugins" with Wasm & MCP (Model Context Protocol).

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Justin Reock has spent a lot of his career thinking about how to help developers be more productive. In this episode we learn about the methodologies that can help developers spend more time in "flow state" - happily coding the fun stuff. Further reading: Measuring developer productivity with the DX Core 4

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Lize Raes teaches us about AI models, LLMs, Tools, Agents, and MCP.

Article from Anthropic on Agent architectures: Building effective agents

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Join us at the 2025 Winter Tech Forum! www.wintertechforum.com

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We chat with Dave Thomas, co-author of The Pragmatic Programmer, about the joy of programming and the tensions between our and others needs.

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Jutta Eckstein is expanding the concepts of Agile to be a company-wide model, instead of a niche process for software developers. We chat with her about the book "Company-wide Agility with Beyond Budgeting, Open Space & Sociocracy" which she co-authored on this subject. For more details on the book and many free resources, see: www.agilebossanova.com

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Nathan Sobo is co-founder of Zed, a super-fast, collaborative, AI-powered, code editor. We chat about his journey to build the ultimate code editor: lessons learned from building Atom, Electron and its challenges, CRDTs, Rust native GPU GUIs, AI Code Assistants, and more CRDTs.

See also:

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After 4 years in development, our book is out! Along with our friend and lead-author, Bill Frasure, we we discuss the book, its motivation and the process we used to create it. Now available in digital and print forms at: effectorientedprogramming.com

At the end of the episode we step into the "twilight zone" with a 7 minute NotebookLM AI-generated podcast based on the book.

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⁠Stephan Janssen⁠ is always on the bleeding edge of both helping developers grow and with how he uses technology to accomplish amazing things. He led the creation of Devoxx but is a coder at heart. Stephan shares his journey with AI, both as a "library" in his applications and also as an "assistant" that helps him iterate and program more quickly.

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We chat with Venkat about his upcoming dev2next conference and the new Stream Gatherers API (preview in JDK 22).

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