For developers
Get an AI review that sees the whole picture
Bundle your git changes, their tests, and what depends on them, behind a review prompt.
The problem
Pasting a raw diff into an AI loses the context that matters: the tests that cover the change, and the code that depends on it. The review misses the real risks.
How it works
- 01
Point at your changes
Diff against your working tree or any base branch.
- 02
Build the review bundle
IngestMD gathers the changed files, their tests, and their dependents, behind an AI review prompt.
- 03
Review
Hand it to your AI, or your own local model, for a grounded review.
Result. Reviews that catch the ripple effects, not just the lines that changed.
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.
Make sense of a pile of spreadsheets and invoices
Turn XLSX, PDF, and Word files into clean Markdown tables an AI can actually read.