Understand Any Codebase in Minutes, Not Months
GitRub turns your repository into a queryable code graph. Trace dependencies, find every caller, and see the blast radius of a change before you make it.
What GitRub does
- Cross-Repo Code Graph
- Every symbol, call, and dependency indexed into one graph that spans services and languages.
- Semantic Search
- Search by what code does, not just by string match. Find the right function even when you forgot its name.
- Impact Analysis
- Before you change a function, see every call site and downstream consumer across the entire org.
- Language Agnostic
- One model for Go, TypeScript, Python, Rust, Java, and more. Polyglot codebases, one graph.
By the numbers
Questions
How is this different from grep or my IDE?
Grep matches text. Your IDE indexes one project. GitRub builds a semantic graph across all your repos and services, so cross-service references resolve correctly.
Does my code leave my infrastructure?
GitRub can run fully self-hosted. In that mode no source code ever leaves your environment.
How long does indexing take?
A million-line repository indexes in minutes on first run, then updates incrementally on each push.
Which languages are supported?
Twenty-plus languages today, including Go, TypeScript, Python, Rust, Java, C++, and Ruby, with more added regularly.
How do I get started?
Point GitRub at a repository, let it index, and start querying. Most teams get value in the first session.
Onboarding to a million-line codebase?
GitRub maps the whole thing so your engineers stop reading and start shipping.
Get StartedFrom the Blog
Codebases Are Graphs, So Query Them Like Graphs
Treating source as a pile of text files is why navigation is so painful. The real structure is a graph of symbols and references, and the tooling should expose it as one.
Read more →Impact Analysis Is the Feature Engineers Actually Want
The scariest moment in software is changing code you do not fully understand. Knowing the blast radius in advance turns that fear into a checklist.
Read more →Semantic Search Beats String Search Once Code Gets Big
In a small project you remember every name. In a large one you remember what something does but not what it is called, and that is exactly where string search fails.
Read more →The Polyglot Problem Nobody Wants to Solve
Real systems are written in many languages. Tools that understand one language at a time leave the most important references, the ones that cross language boundaries, invisible.
Read more →Self-Hosted Is Not a Compromise
For source code, where it runs is a security decision, not a convenience one. A self-hosted code intelligence platform should be the full product, not a stripped-down fallback.
Read more →