Giving AI agents the code understanding they need.
I kept going in circles trying to build and debug codebases. I tried a coding agent for the first time and tried to give it a real-world project. It wasn't able to tackle it in a timely manner.
The problem wasn't the AI — it was the tools. The AI could only use grep, which returns thousands of text matches for every query. It couldn't understand code structure, find actual definitions, or trace dependencies.
So I built srcnav. A tool that gives AI agents the code understanding they need to actually be useful.
srcnav exists because AI coding agents need more than just text search. They need to understand code structure — where functions are defined, what depends on what, and what will break when something changes.
Traditional tools like grep are great for humans, but they return thousands of matches for simple queries. srcnav provides precise, semantic code navigation that enables AI agents to make informed decisions about code changes.
Searching for "createUser" returns thousands of matches — strings, comments, usage — everything except the actual definition.
Text search gets slower with larger codebases. AI agents can't afford to wait seconds for every search.
Traditional search doesn't understand code relationships. AI agents can't determine impact or dependencies.
Without precise code navigation, AI agents load entire files, wasting tokens and money.
srcnav indexes your codebase once, then provides millisecond-speed queries that understand code structure:
srcnav works with the most popular programming languages.
Python
Rust
Go
Java
C
C++
TypeScript
JavaScriptsrcnav is open source. We believe code navigation tools should be accessible to everyone.
Fast, terminal-based interface for direct use or scripting.
Embed srcnav in your own tools and products.
JSON output designed for AI agent consumption.
Interested in srcnav? Have questions? Want to contribute?
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