AI Code That Fixes Itself (An MCP You Can Try Now)

Описание: AI coding assistants (even the best ones like Claude Code) constantly make frustrating mistakes - wrong function names, incorrect syntax, endless debugging loops.

Here I introduce a breakthrough solution that is still very experimental: indexing open source projects into knowledge graphs that enable AI to self-correct in real-time. Instead of guessing at APIs/SDK syntax and getting stuck in infinite debugging loops, AI coding assistants can now query exact syntax, validate its code against actual codebases, and heal itself automatically.

I even give a live demonstration showing how this knowledge graph approach eliminates hallucinations and creates truly reliable AI coding. This isn't just incremental improvement - it's the foundation for taking AI coding assistants to the next level of reliability and usefulness.

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Check out Director to easily create browser automations in real time with natural language (get started for free!):

https://browserbase.plug.dev/h04lnzt

Director and the open source Stagehand browser automation framework are both created by Browserbase:

https://browserbase.plug.dev/JpoDwdP

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Crawl4AI RAG MCP Server:

https://github.com/coleam00/mcp-crawl...

Archon (V2 Overhaul Coming Soon):

https://github.com/coleam00/Archon

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00:00 - Fixing AI Coding Hallucinations with Knowledge Graphs?!
01:19 - What's in the Knowledge Graph?
02:44 - Detecting Hallucinations in Action
06:56 - When this Strategy is Useful (or not)
11:51 - Hallucination Detection in the Crawl4AI RAG MCP Server
15:38 - Knowledge Graphs + Claude Code = $$$
20:04 - Results of One Shotting an AI Agent with Our Strategy
22:40 - Final Thoughts

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Join me as I push the limits of what is possible with AI. I'll be uploading videos weekly - Wednesdays at 7:00 PM CDT!