Mozilla developer Peter Wilson has taken to the Mozilla.ai blog to announce cq, which he describes as “Stack Overflow for agents.” The nascent project hints at something genuinely useful, but it will have to address security, data poisoning, and accuracy to achieve significant adoption.
It’s meant to solve a couple of problems. First, coding agents often use outdated information when making decisions, like attempting deprecated API calls. This stems from training cutoffs and the lack of reliable, structured access to up-to-date runtime context. They sometimes use techniques like RAG (Retrieval Augmented Generation) to get updated knowledge, but they don’t always do that when they need to—”unknown unknowns,” as the saying goes—and it’s never comprehensive when they do.
Second, multiple agents often have to find ways around the same barriers, but there’s no knowledge sharing after said training cutoff point. That means hundreds or thousands of individual agents end up using expensive tokens and consuming energy to solve already-solved problems all the time. Ideally, one would solve an issue once, and the others would draw from that experience.
