Meta needed 50+ AI agents to map their tribal knowledge. The most durable piece of their stack is the part you can build

In early April, Meta's engineering team published a piece describing how they used a swarm of 50+ specialised AI agents to map tribal knowledge across one of their large data pipelines: four repositories, three languages, 4,100+ files. The post has been making the rounds in platform engineering circles for good reason. It names a problem most polyrepo organisations live with quietly, and shows what an industrial-scale solution looks like. I read it twice. I think there are actually two posts ins