Developer Builds AI Agent System to Automatically Optimize CUDA Kernels

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A developer has created an agentic tool that uses AI to optimize CUDA kernels, combining the project with an opportunity to learn the LangGraph framework. The system includes a custom C++ CUDA test harness that AI agents can interact with autonomously. The agents are capable of running kernels, collecting benchmark results, and profiling performance using NVIDIA's Nsight tool. The project was shared on Hacker News as a personal learning exercise that produced a functional optimization workflow. It represents a practical application of agentic AI to low-level GPU programming tasks.

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