AI coding assistants are powerful but only as good as their understanding of your codebase. When we pointed AI agents at one of Meta’s large-scale data processing pipelines – spanning four repositories, three languages, and over 4,100 files – we quickly found that they weren’t making useful edits quickly enough.
We fixed this by building a pre-compute engine: a swarm of 50+ specialized AI agents t...
This initiative by Meta presents a compelling case for how AI can be harnessed to document and navigate complex, proprietary codebases—an area where traditional AI tools often struggle due to lack of contextual understanding. The strongest aspect of this narrative is its focus on addressing a real-world problem: the gap between AI capabilities and the tribal knowledge embedded in large-scale, proprietary systems. By systematically extracting and structuring this knowledge, Meta has not only impr...