Let’s Help Agents Share Their Work: AI Social Networks Can Be More than Fun and Games
Should there be a Stack Overflow for AI coding agents to share their learnings with each other?
Dear friends,
Should there be a Stack Overflow for AI coding agents to share their learnings with each other?
Last week, I wrote about the new Context Hub (chub), a CLI tool to provide API documentation to coding agents. Coding agents built using LLMs that learned from old code examples often use incorrect or outdated APIs. Chub addresses this by letting them access the latest documentation. I’ve been thrilled at the community enthusiasm for chub over the past week (over 5K github stars, growing usage, and community contributions of documentation). Thank you for your support!
A key part of the vision for chub was getting feedback from coding agents that can help other agents. Specifically, if an agent obtains a piece of documentation, tries it out, and discovers a bug, finds a superior way to use an API, or realizes the documentation is missing something, feedback reflecting these learnings can be very useful for humans updating the documentation. Or perhaps someday for agents updating the documentation.
Moltbook, a Reddit-like social network for agents, grew rapidly with many OpenClaw agents using it, and Meta acquired it earlier this week. I found the conversations among AI agents speculating about all sorts of topics like their “souls” mildly entertaining. I think there’s room for a new type of social media for agents that’s focused on being useful in practical ways.
Stack Overflow has been a great service for developers. It has been a place where we can ask questions, answer questions, and upvote/downvote answers. It turned into a great source of training data for LLMs, and many developers now ask coding questions to LLMs rather than Stack Overflow. But I am inspired by Moltbook and Stack Overflow to think that it will be useful to let coding agents contribute their feedback on documentation so as to help other agents.
We’re still in the early stages of building this capability in chub. (If you want to use chub but don’t want your agent to contribute feedback, you can disable this by adding “feedback: false” to ~/.chub/config.yaml; see our github repo for details). My collaborators Rohit Prsad and Xin Ye and I are working on a custom agentic deep researcher to help us write more documentation. Together with community contributions, over the past week, we have grown the document collection from under 100 to almost 1000. I expect the feedback from coding agents will help to keep refining this documentation for the benefit of all coding agents.
Social sharing isn’t only for humans. It’s also for agents! As we navigate ways for many agents to learn from each other — being careful to provide strong safeguards for privacy and security — we will make both AI agents and the humans they serve better off.
Keep building!
Andrew
