For developers
Ask your codebase, answered by your own model
A question in, an answer out, grounded in the repo and running on your machine.
The problem
You know the answer is somewhere in the code, but grep and memory only get you so far. Cloud AI means uploading the repo.
How it works
- 01
Point and ask
Type a question on the Ask tab.
- 02
Local context
IngestMD builds a token-budgeted context from the repo and sends it to your local model.
- 03
Answer
You get an answer grounded in the actual code, on your machine.
Result. Codebase questions answered without a cloud round-trip.
Keep going
More you can do
Onboard a new developer in days, not weeks
Hand a new hire a guided tour of the codebase their AI assistant actually understands.
Turn a Confluence space into a NotebookLM briefing
Pull a whole space into clean Markdown, then let NotebookLM turn it into an audio overview or a deck.
Fix a bug without drowning the model in the whole repo
Discover the area that owns the bug, and load only that subsystem into your AI over MCP.
Get an AI review that sees the whole picture
Bundle your git changes, their tests, and what depends on them, behind a review prompt.