Design like Karpathy is watching

Replicate · Beginner ·🧠 Large Language Models ·9mo ago
Update, July 22 2025: The official version of this talk is now live at https://www.youtube.com/watch?v=huQPkrwVWwc This video delves into the evolving landscape of API design, emphasizing the need to cater to large language models (LLMs) as primary consumers, beyond human developers. It highlights the challenges faced when AI models interact with traditional APIs, drawing insights from Andrej Karpathy's "vibe coding" experience with MenuGen. Learn about practical strategies like embracing `llms.txt` for machine-readable documentation, leveraging established "boring" technologies (like SQL, Py…
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Chapters (14)

Intro and Replicate overview
1:00 Who is Andrej Karpathy?
2:11 What is MenuGen?
2:49 The pains of vibe coding deployed apps
3:17 Replicate's API challenges
4:31 Embrace llms.txt
6:18 Why LLMs like to curl
7:46 Cog's llms.txt and AI code generation
8:44 LLMs as primary audience
9:18 What is MCP (Model Context Protocol)?
10:15 Replicate's MCP server
11:02 Claude Desktop with Replicate MCP
12:36 Lessons learned for API design
15:56 Conclusion
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
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5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)