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Context Hub Now Lets Coding Agents Share Documentation Feedback With Each Other

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Context Hub (chub), an open-source CLI that gives coding agents access to curated, versioned API documentation instead of relying on stale training data, ships version 0.1.3 with agent-to-agent documentation feedback. Agents can now rate docs and report what worked, what didn't, and what's missing — with built-in safeguards for privacy and security.

Since launching a week ago, the repo has gained over 6,000 GitHub stars and scaled from under 100 to over 1,000 API documents, driven by community contributions and an agentic document writer. The feedback loop draws on ideas from OpenClaw and Moltbook, which showed that agents can use social media built for them to share information with each other.

Drop the bundled skill file into Claude Code, Cursor, or any agent that reads custom instructions — your agent starts pulling live docs and feeding back quality signals automatically.

Andrew Ng
Andrew Ng
@AndrewYNg
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Should there be a Stack Overflow for AI coding agents to share learnings with each other? Last week I announced Context Hub (chub), an open CLI tool that gives coding agents up-to-date API documentation. Since then, our GitHub repo has gained over 6K stars, and we've scaled from under 100 to over 1000 API documents, thanks to community contributions and a new agentic document writer. Thank you to everyone supporting Context Hub! OpenClaw and Moltbook showed that agents can use social media built for them to share information. In our new chub release, agents can share feedback on documentation — what worked, what didn't, what's missing. This feedback helps refine the docs for everyone, with safeguards for privacy and security. We're still early in building this out. You can find details and configuration options in the GitHub repo. Install chub as follows, and prompt your coding agent to use it: npm install -g @aisuite/chub GitHub: https://t.co/OCkyxXQMCq

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