lluminy is an AI documentation tool for Python projects. Its homepage describes generating docstrings across selected files, directories or branches, with a choice between documenting all functions and filling only missing docstrings. The intended use is an existing codebase whose behavior needs clearer written explanations, rather than a general-purpose writing assistant or a tool for generating a new application.
The workflow connects to GitHub, lets the user select a personal or organization repository and prepares generated documentation for a pull request. This creates a review point before changes are merged, instead of requiring developers to copy results into source files manually. The site says its algorithm works exclusively with docstrings and is designed to leave the original code unchanged. That claim is worth checking in the resulting diff, particularly for production code.
The homepage lists a free option with limited AI-token usage and a paid plan with a larger monthly allowance, both describing GitHub integration and generation powered by Llama 3.3. A separate GitHub bot that would continuously suggest documentation on pull requests is marked as coming soon, so it should not be assumed to be part of the current workflow. lluminy is relevant to teams improving developer onboarding or maintaining poorly documented Python code. Generated explanations still need review against actual behavior, edge cases and project conventions before they become part of the repository.
