AI keeps re-reading your entire codebase on every query. Kodara makes it remember — giving your AI surgical context instead of a firehose.
94% fewer tokens · Same answers · Any AI tool
The quality isn't in the model. It's in the context. · Senior engineer knowledge. Free model. One prompt.
Finds the 2–8 most relevant files for any query using IDF-weighted semantic search + dependency graph expansion. No hallucinations from irrelevant context.
kodara ask "How does payment work?" → Found 6 modules / 1,840 tokens → billing/processor.py ★★★★★ → billing/stripe.py ★★★★
Know what breaks before you change anything. BFS traversal through the reverse dependency graph surfaces every affected module, ranked by risk.
kodara impact auth/middleware.py Risk: HIGH Direct affected: 2 modules Indirect affected: 8 modules
Project memory that grows over time. Git history, developer annotations (the WHY layer), and architecture snapshots. Answers questions no file can.
kodara note add auth/jwt.py \ "Using RS256 not HS256 — audit req" kodara snapshot → saved 2026-03-12
New developer? Kodara generates a reading guide based on dependency layers and git activity. From zero to productive in hours, not days.
kodara onboard 01 → main.py (entry point) 02 → api/server.py (core) 03 → auth/middleware.py (foundation)
Tested on 44-file Python codebase · GPT-4o $2.50/1M input tokens (2026 pricing)
No API keys · No configuration · Works with any AI tool