Peter Wilson, a Mozilla developer, has launched cq, a project he calls 'Stack Overflow for agents,' to address key limitations in AI coding tools. The initiative aims to provide up-to-date knowledge sharing among agents, reducing redundant problem-solving. It is available now as a proof-of-concept plugin.
Peter Wilson, a developer at Mozilla, announced cq on the Mozilla.ai blog, describing it as 'Stack Overflow for agents.' The project targets two main issues with coding agents: reliance on outdated information after training cutoffs and lack of knowledge sharing among multiple agents, leading to repeated efforts on solved problems like deprecated API calls or specific error handling, such as Stripe's rate-limiting responses returning a 200 status with an error body. cq enables agents to query a shared 'commons' before tackling unfamiliar tasks like API integrations or CI/CD configurations. If another agent has documented a solution, it can use it immediately; successful agents propose new knowledge, which others confirm or mark as stale, building trust through usage rather than authority. Wilson positions it as an improvement over manual fixes in files like claude.md or agents.md, which do not share insights across projects. Currently a proof-of-concept, cq is downloadable as a plugin for Claude Code and OpenCode, with an MCP server for local knowledge storage, a team-sharing API, and a user interface for human oversight. Documentation and contributions are available via its GitHub repository. Wilson also shared the project on Hacker News, where developers praised its potential usefulness but raised concerns including security risks like prompt injection and data poisoning, accuracy challenges from models' inconsistent step-tracking, and competition from similar efforts at various stack levels.
