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THE SIGNAL
You ask your AI assistant to rename a function. It finds some places that use it. Misses others. You deploy. Something breaks.
This happens because every AI coding tool today is doing Ctrl+F on your files. It searches text. It has no idea how your code is wired together.
Someone built a tool that maps your entire codebase. Every function, every dependency, every chain of calls. Runs locally. Code never leaves your machine.
You ask "what breaks if I touch this" and it gives you the real answer with exact line numbers. No guessing.
I've been testing it.
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What it does:
Turns your repo into a local knowledge graph. Your AI agent queries that graph instead of searching files. Answers come with [[file:line]] citations.
What it replaces:
Ctrl+F across files → map of how everything connects
"Did I miss anything?" → exact blast radius across services
Stale architecture docs → auto-generated wikis from real code
Cost:
Free. Open source. npm install -g gitnexus.
Use it if:
You use Claude Code or Cursor. You've been burned by refactors that missed something.
HOW IT WORKS
npm install -g gitnexus
gitnexus analyzeTwo commands. It parses your code, extracts every function, class, import, and call relationship, then stores it all in a local graph database. Keyword search and semantic search baked in.
After that you get: impact analysis, change detection, coordinated renaming, wiki generation, and more. All queryable from CLI or through an MCP server that plugs into Claude Code and Cursor.
Nothing leaves your machine. Zero server.
WHAT THIS LOOKS LIKE IN CLAUDE CODE
Wire GitNexus as an MCP server. Claude stops searching files and starts querying your actual code structure.
Rename a function safely.
"Compute the blast radius of renaming processPayment, grouped by service." You get every caller, every affected service, file:line links. Apply the rename knowing nothing got missed.
Understand a codebase fast.
"Generate an architecture wiki of the top services and their entrypoints." GitNexus maps the clusters. Claude writes the doc with citations. Commit it to your repo. Onboarding done.
Review PRs by structure, not line count.
"Compare the graph between main and feature/x." Claude flags new couplings between services instead of just listing changed files.
THE GOTCHAS + INSIGHTS
Browser UI caps at ~5k files. CLI handles bigger repos.
First index is slow on large codebases. Re-indexing is fast.
MCP setup isn't one-click yet. Docs are clear though.
The bottleneck with AI coding tools isn't the model. It's the context.
You can stuff 200k tokens into a prompt. The model still won't know how your code connects. Structure isn't in the text.
GitNexus maps that structure once. Then any model can query it. Even cheap ones.
Until next week,
@speedy_devv