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Den Delimarsky

Principal product engineer at Microsoft focused on developer AI tooling and a core maintainer of the Model Context Protocol (MCP); works on SDKs, auth, and spec-driven developer experiences for AI integrations.

Top 3 podcasts with Den Delimarsky

Ranked by the Snipd community
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68 snips
Nov 10, 2025 • 1h 6min

#527: MCP Servers for Python Devs

Den Delimarsky, a Principal Product Engineer at Microsoft and a key figure behind the Model Context Protocol (MCP), dives into the revolutionary potential of MCP for Python developers. He explains how MCP serves as a universal adapter for LLMs to access dynamic data across applications. The conversation includes practical insights on using MCP for podcast workflows, securing local servers with Tailscale, and programming with Python decorators. Delimarsky emphasizes the importance of prudently exploring public MCP servers while providing a roadmap for getting started with the Python MCP SDK.
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18 snips
Oct 30, 2025 • 1h 5min

GitHub Spec Kit with Den Delimarsky

Den Delimarsky, a principal product engineer at Microsoft, dives into the GitHub Spec Kit and its role in specification-driven development with LLMs. He highlights how granular specifications maximize coding efficiency and serve as guardrails for AI models. Den explains the importance of detaching requirements from technical stacks and chunking tasks for successful AI-driven outcomes. He also discusses the benefits of generating tests first and maintaining developer oversight to ensure quality and security in code. It's a fresh perspective on enhancing software development with AI!
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Oct 30, 2025 • 1h 5min

GitHub Spec Kit with Den Delimarsky

Den Delimarsky, a Principal Product Engineer at Microsoft, dives into the GitHub Spec Kit and its role in specification-driven development with LLMs. He explores how refining specifications can enhance code generation while emphasizing the importance of granular tasks for LLMs. Den discusses strategies like using the Clarify prompt to uncover requirements and the necessity of guardrails to ensure safe, focused outputs. He highlights the crucial balance between AI tools and developer expertise in producing quality software.

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