25 points bertaye 3 hours ago 4 comments
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
asamadx 2 hours ago | parent
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
bertaye 2 minutes ago | parent
That is the funny part actually; we can either provide a reference kernel for correctness check or let AI to create a very basic reference implementation :D for my own experiments I used second one
generalizations 30 minutes ago | parent
Very cool. Did you also try using the karpathy autoresearch? How do you think this compares?