Codix: Code indexing and refactoring tools for AI agents

I built codix because AI coding agents waste a lot of tokens grepping and guessing their way through codebases. They search for symbols by name, get imprecise results back, and sometimes just hallucinate definitions that don't exist.

codix indexes your code into a local SQLite database using tree-sitter, then provides precise symbol lookups, reference finding, and relationship queries (callers, callees, implementations, supertypes).

It also supports refactoring: `codix rename` finds every occurrence of a symbol across the codebase using AST analysis (not text search), shows you a dry-run diff, and applies it with --apply.

    cd your-project
    codix init
    codix find UserService
    codix callers save
    codix impls Repository
    codix rename save persist          # dry-run
    codix rename save persist --apply  # apply

It supports Go, Java, JavaScript/TypeScript, Python, and Rust. The index auto-refreshes on every query, so it's always current.

The output is designed to be token-efficient for agents, but it works fine for humans too. Adding it to your agent is one line in CLAUDE.md or AGENTS.md.

MIT licensed, written in Rust, ~5k lines. Contributions welcome — especially for new language plugins.