17,212 Go files into 33 areas: the staging tree, the end-to-end and integration test suites, kubeadm, and the command tree.
The largest areas IngestMD found
How it was made
IngestMD scanned Kubernetes on the laptop and grouped its files into coherent areas in ~6s, with no model and no network. The result is deterministic, so the same repository produces the same map every time, and no two areas share a name. From here you load just the area you need as focused context for an AI assistant, instead of the whole tree.
Map your own repository
Point IngestMD at any folder and get the same kind of map, on your machine, in seconds.
Download IngestMD