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Apex / LWC

E-Bikes, mapped

73source files
13named areas
~1sfirst run
0name collisions

The E-Bikes sample app. The same metadata-type map: components, objects, Apex.

The largest areas IngestMD found

Top 8 areas by file count Lightning Web Components 49 Custom Objects 40 Other Metadata 27 Apex Classes 9 Layouts 6 Lightning Pages 4 Tabs 4 Content Assets 2 Real IngestMD discovery on E-Bikes, on a laptop. Deterministic: the same repo gives the same map every run.

How it was made

IngestMD scanned E-Bikes on the laptop and grouped its files into coherent areas in ~1s, 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.

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