Hi HN, I made a JIT compiler so that I can easily setup VLA experiments and iterate fast for my robot arms using a python interface but have cuda kernels and metal kernels in the background. I prefer the platform agnostic DX and the uv native simplicity whilst also gaining performance, Its a cool idea please give a few stars, im sure it will help the ecosystem
Well I wanted to implement light transport papers without having to deal with cpp. I think tinygrad, and more specifically tinyJIT are super useful abstractions. This is def not available in ts
When I made a swift package manager as Rust rewrite I realized that the language wasn't the issue, design is a lot more important. Rust just gave a boost to everything else. you can try Gust here https://github.com/quantbagel/gust a lot better than using SwiftPM but there's room for improvement! Make issues with your ideas
works iOS->linux, windows, Mac. Android->linux, windows, Mac, and vice versa.
open source, feel free to add issues, star or check out some if my other projects!