This project provides an AI-powered recursive learning system designed to transform AI coding assistants into interactive tutors. It addresses the need for systematic technical skill acquisition by integrating Socratic deep-dives and TDD-style exercises directly into the developer's workflow. The system benefits engineers, researchers, and power users by offering a structured, personalized, and efficient method for mastering complex technical topics.

How It Works

Learn Anything generates specialized skill and command files for over 30 AI coding tools, enabling them to guide users through technical subjects. Its core approach involves a recursive learning method for deep explanations, TDD-style coding exercises with structured feedback, adaptive quizzes, and spaced repetition for knowledge retention. A key advantage is its adapter pattern, which formats output for diverse AI tools, and the optional Context7 integration for cross-referencing AI explanations against official documentation, significantly enhancing accuracy.

Quick Start & Requirements

• Primary install/run command: Use npx learn-anything-cli init for interactive setup, or pnpm add -g learn-anything-cli / npm install -g learn-anything-cli for global installation.
• Prerequisites: Node.js ≥ 20 and pnpm ≥ 9 are required.
• Optional: Context7 integration for documentation verification requires npx ctx7 setup.
• Relevant pages: GitHub Repository

Highlighted Details

• Supports over 30 AI coding tools, including Claude Code, Cursor, Codex, Gemini CLI, and GitHub Copilot.
• Features six interactive learning commands: /learn:topic, /learn:explain, /learn:practice, /learn:review, /learn:status, and /learn:quiz.
• Includes a zero-config Visual Learning Dashboard (learn-anything serve) for browsing knowledge maps, session notes, and exercises with hot-reloading and dark mode.
• Context7 integration allows AI explanations to be verified against authoritative sources, improving teaching accuracy.

Maintenance & Community

The project is hosted on GitHub. No specific details regarding notable contributors, sponsorships, or dedicated community channels (like Discord/Slack) are provided in the README.

Licensing & Compatibility

• License type: MIT.
• Compatibility: The MIT license is permissive, allowing for commercial use and integration within closed-source projects without significant restrictions.

Limitations & Caveats

A graphical desktop interface (learn-anything-gui) is currently under development. The system's effectiveness is dependent on the capabilities of the integrated AI coding assistants. Context7 integration, while enhancing accuracy, is an optional component requiring separate setup.