Doc Genius AI scans your codebase, identifies modules, functions, classes, and variables, then generates detailed documentation and README files. It supports Python, JavaScript, Java, and other major languages. Users can customize prompts, templates, and output formats. The tool integrates with GitHub for pull-request documentation checks and works in CI/CD pipelines. It ships as an npm package and a cross-platform CLI, making it easy to install and integrate into existing workflows.

Generate Project README using LangGraph is an AWS sample tool showcasing how to build AI-powered documentation generators with LangGraph, an innovative graph-based AI workflow framework. It traverses your project files, understands code structures, dependencies, and usage patterns, then automatically generates a clear, organized README in Markdown. By integrating LangGraph’s customizable nodes, developers define workflows that extract module descriptions, code examples, installation instructions, and contribution guidelines. The output supports multiple templates for different languages and frameworks. Users can extend the workflow with custom prompts, connectors, and template engines. This sample streamlines onboarding for new contributors, ensures consistent documentation across repositories, and can be integrated into CI/CD pipelines to auto-update READMEs on code changes.

Readme AI is an AI-powered tool designed to automate the creation of README.md files for software projects. By connecting to your GitHub repository, it intelligently extracts context, dependencies, and project details. Users can select which sections to include—such as introduction, installation, usage, features, license, and badges—and the AI generates clear, well-structured documentation. After generation, you can review, edit, and directly commit the file back to your repository. This saves developers time, ensures consistency, and enhances project discoverability.