PitchDocs automates the creation of polished, professional documentation from source code repositories. The AI analyzes code structure, function signatures, configuration files, and existing comments to generate comprehensive READMEs with proper sections for installation, usage, API reference, and contribution guidelines. The output is marketing-ready rather than technical-only, making open-source projects and APIs more approachable.
Beyond traditional documentation, PitchDocs generates AI context files like llms.txt that help AI agents understand and interact with the documented software. It also produces structured changelogs from git history and release notes from version tags, automating the documentation tasks that developers routinely skip but users consistently request.
PitchDocs targets the 2026 market reality where high-quality README files serve as the primary entry point for both human developers evaluating tools and AI agents processing documentation. The paid platform provides batch processing for entire organizations and integration with CI/CD for automated documentation updates on each release.
