RocGenesis — AMD-ready AI Development Copilot

RocGenesis is an AMD-ready AI Development Copilot designed to help developers move from raw idea to deployment-ready AI applications with more confidence. Developers working with GPU-powered AI projects often face many challenges: planning the project architecture, setting up AMD/ROCm workflows, generating safe terminal commands, understanding ROCm/PyTorch/HIP errors, estimating GPU memory usage, checking safety risks, and preparing final documentation. These steps are usually handled separately, which slows down development and increases the chance of mistakes. RocGenesis brings these steps into one guided dashboard. The Design & Build Flow generates an AMD-ready project blueprint from a raw idea. CommandFlow creates safe setup, run, test, and deployment command runbooks. DebugFix analyzes ROCm, HIP, and PyTorch errors with root cause, fixed code, validation commands, and safety score. GPU Estimate predicts VRAM usage, out-of-memory risk, AMD GPU fit, and optimization strategies. Safety Guard scans code, commands, secrets, dependencies, and unsafe patterns. The Reports module generates judge-ready project documentation and deployment evidence. The project is built with Python, Streamlit, Qwen through OpenRouter API, and Hugging Face Spaces. RocGenesis is especially focused on AMD AI developers by supporting ROCm-aware setup guidance, HIP/ROCm error reasoning, AMD GPU workload estimation, and deployment readiness. RocGenesis helps developers build, debug, optimize, secure, and ship AI apps on AMD GPUs from one professional AI-assisted workflow.