Developer Noah Cristino releases llmcat, an open-source CLI tool that formats entire codebases into optimized text input for AI models

Noah Cristino published llmcat, a command-line tool available on GitHub that converts source code repositories into structured, cleaned text that AI language models (software that understands and generates code) can process more accurately.

Instead of manually copying-pasting code snippets into AI chat tools, developers run a single command and get a pre-formatted file containing their entire codebase with irrelevant files stripped out—reducing token count (the unit AI models use to measure input size) and cutting costs when using paid AI APIs.

Programmers can now feed complete project context to AI tools for code review, refactoring suggestions, or bug detection in seconds, rather than spending time cleaning up messy paste jobs or summarizing code manually in chat prompts.