A new tool, ContextCodeCache (ccc), from GitHub user colwill aims to provide AI agents with a fast, up-to-date index of software projects. It scans source code to build a compact map, detailing constants, functions, call graphs, and marker notes within a .cccdirectory. This allows agents to quickly access project structure without full code parsing.

Installation involves Rust 1.77 and a simple cargo build. The tool offers `scan` to regenerate the cache, `check` for CI freshness validation, and `install` to add the binary to your PATH. The `check` command exits non-zero if the cache is stale, and a JSON output option helps integrate with CI/CD pipelines.

Beyond a basic index, `ccc` can pre-encode the cache into a token stream using tiktoken, suitable for models like Deep Seek V4-Pro. For Anthropic models, the generated Markdown index serves as context. The tool supports Rust, Python, JavaScript, TypeScript, and Go, honoring gitignore rules and skipping hidden directories, making it a practical utility for developers leveraging AI in their workflows.