alt Hacker NewsShow HN: Agentic CUDA Kernel Optimizer
Hello; I was working on optimizing some CUDA kernels and I thought may be it is a good oppurtunity learn langgraph as well. I created a simple C++ CUDA Test Harness and handed that to AI agents. They can run kernels, get benchmarks, and even can profile via nsight
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lohr13 • today at 1:49 PM
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asamadx • today at 12:00 PM
respect for shipping something this technical solo, this is the kind of project that usually needs a team to even validate correctness. how are you handling regression testing across kernel variants, feels like the hardest part of an agentic optimizer isn't finding a faster kernel, it's proving the faster one didn't quietly break something
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Very cool. Did you also try using the karpathy autoresearch? How do you think this compares?