Hacker News·6 min read·hard
Solving poker in custom WebGPU kernels
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patrickhulin
✦AI Summary
A developer recounts using AI coding assistants to build custom WebGPU kernels for a poker solver, bypassing the need for traditional tensor libraries. The project successfully achieved high performance in a browser environment by leveraging AI to generate and optimize low-level code.
Have coding agents gotten good enough that we don’t need libraries anymore? This post recounts one case in which the answer is “we don’t”: I needed a tensor library to run my poker model in WebGPU. The library I wanted did not exist. It turned out I did not need it.
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