Show 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
Discussion Highlights (4 comments)
asamadx
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
generalizations
Very cool. Did you also try using the karpathy autoresearch? How do you think this compares?
fooblaster
Can someone explain why this isn't better accomplished through a single prompt to Claude code or codex? I don't think I understand.
aidiveyt
in mine, only an agent's final report reaches the orchestrator, never its transcript, so a wrong turn inside a node stays invisible. that's the fence i'd want first.