The app parses source code using an AST-based approach to extract key structure such as functions, classes, imports, and docstrings, then uses LLM models to generate a clear documentation plan before writing the final output. It supports real-time streaming through Server-Sent Events, multiple programming languages including Python, JavaScript, TypeScript, Go, Java, and Rust, and export formats like Markdown and styled HTML.

Built with Next.js, FastAPI, LangChain, Tailwind CSS, and Python, the project demonstrates a practical end-to-end AI workflow for automated technical writing, developer productivity, and documentation generation.

It also includes a three-panel editor for code input, documentation planning, and live preview, making the experience fast, interactive, and easy to use.