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AI coding agents often struggle with inefficiently finding relevant code, wasting tokens on unstructured searches. Codeix solves this by providing agents with a pre-built, structured map of any codebase, allowing precise queries for symbols, references, and callers. It tackles common issues with existing tools like lack of structure, slow re-parsing, and non-shareable indexes by introducing a git-committable, shareable, and composable `.codeindex` format. This enables fast, structured querying across an entire project and its dependencies, including dedicated prose search for comments and docstrings, all designed to give AI agents exactly what they need in a single, efficient tool call.
