OS Ninja
AI-powered platform that helps developers explore and learn open source projects through dynamic, personalized learning paths.
At a Glance
Pricing
Free access to explore and learn open source projects
Engagement
Available On
Resources
About OS Ninja
OS Ninja is an AI-powered platform designed to help developers explore, understand, and learn from open source projects. The platform addresses the challenge of navigating complex codebases by using intelligent analysis to create structured, dynamic learning paths that evolve alongside the code. It transforms the traditional approach to learning open source from static wikis to adaptive AI-driven experiences.
Key Features:
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AI Learning Paths - The platform performs comprehensive analysis of entire codebases to generate structured learning paths, with deep research that can take up to 24 hours for high-fidelity results.
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Multiple Learning Styles - Choose your preferred learning approach including Socratic questioning, Feynman technique, or traditional book format to match how you learn best.
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Project Discovery - Search for any open source project in the library, or request new projects to be added if they're not already available.
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Curated Collections - Browse organized categories including AI, Data, Robotics, Game Engines, Crypto & Web3, Distributed Systems, Machine Learning, Infrastructure, Compilers, CLI Tools, Dev Tools, Mobile, and Frameworks.
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Deep Research Engine - Comprehensive codebase analysis that decodes complex repositories and generates meaningful learning content.
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Newsletter - Monthly updates on new open-source repos, AI-native development trends, and curated insights from intelligent software engineering.
To get started, visit the platform and explore the curated collections or search for a specific open source project you want to learn. Select your preferred learning style and let the AI generate a personalized learning path based on the codebase analysis.

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Pricing
Free Plan Available
Free access to explore and learn open source projects
- AI learning paths
- Deep codebase research
- Multiple learning styles
- Project discovery
- Curated collections
Capabilities
Key Features
- AI-powered learning paths
- Deep codebase research and analysis
- Multiple learning styles (Socratic, Feynman, Book format)
- Project discovery and request system
- Curated repository collections
- Monthly newsletter with AI-native insights