ILGPU

I actually also used it on .NET codebase, specifically https://github.com/m4rs-mt/ILGPU It is just poor at designing a generic solution despite repeated requests to follow the design of existing alternatives (present in the same repro). It tended to plug holes in a broken architecture it came up with on its own instead of redesigning or trying to simplify its code to be able to keep it in its own head. TBH I suspect this might be limited purely by context length. It produced fine(-ish) initial bits so a few tests would pass, but it dug itself a hole of introducing provenance and could not keep track of it properly. You can see it: https://github.com/lostmsu/ILGPU/tree/Vulkan-GPT-5-Stuck TBH2: this was a huge request. But also there are already other backends it could just mirror.