Building a native C++ AI engine (CatAI) from scratch. Looking for collaborators!
📰 Dev.to AI
Learn how to build a native C++ AI engine from scratch and collaborate on the CatAI project
Action Steps
- Join the CatAI project on Dev.to AI to collaborate with other developers
- Review the current codebase and provide feedback on architecture and backend logic
- Contribute to the development of the core tensor math and memory layouts
- Optimize the engine for performance using bare-metal optimization techniques
- Test and debug the engine to ensure stability and accuracy
Who Needs to Know This
C++ developers and math enthusiasts can collaborate on building the CatAI engine, sharing knowledge on low-level memory management and bare-metal optimization
Key Insight
💡 Building a native AI engine from scratch requires expertise in C++, low-level memory management, and bare-metal optimization
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🤖 Build a native C++ AI engine from scratch with CatAI! Collaborate with other devs and math nerds on this exciting project 🚀
Key Takeaways
Learn how to build a native C++ AI engine from scratch and collaborate on the CatAI project
Full Article
Hey everyone, I'm starting a project called CatAI—a native AI model engine built entirely from scratch in C++. I want to skip the bloated standard frameworks and write the core tensor math and memory layouts directly. Because doing a raw scratch build is complex systems work, I'm looking for other C++ devs or math nerds who want to collaborate, brain-dump architecture ideas, or help guide the backend logic. If you love bare-metal optimization, low-level memory management,
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