Context Hub Adds Agent-to-Agent Feedback on API Docs
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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
Context
Andrew Ng's Context Hub update adds a route for coding agents to report problems in API documentation. It develops the initial release's ambition to make discoveries useful beyond one 's session.
The project's documentation distinguishes two mechanisms. Annotations store local notes for an agent's later use. Feedback sends ratings and issue labels to maintainers, who can improve the shared documentation. The proposed community benefit therefore travels through better reference material. Private workarounds and shared feedback have different destinations; they are not one automatically shared memory.
- context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
- AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
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