This is definitely not worth using. It doesn't even say what hypervisor its using. Is it using QEMU? Docker? Podman? Lima? Colima? And also this chart is super

This is definitely not worth using. It doesn't even say what hypervisor its using. Is it using QEMU? Docker? Podman? Lima? Colima? And also this chart is super weird: Solution Latency HiDPI Native Integration Setup Complexity Cocoa-Way Low Yes Native windows Easy XQuartz High Partial X11 quirks Medium VNC High No Full screen Medium VM GUI High Partial Separate window Complex A standard VM will always be the easiest to set up by far. And latency should be the same across all 4. I mean after all it's a VM running on your local machine. Honestly I don't even know what it means when it says "Latency". I also looked at some of the code and it's using OpenGL 3.3 Core which is... super old. But it makes sense in the context of this being LLM-generated since most of its training data is probably OpenGL 3.3 Core code.... Overall this project is very strange. It makes me feel more confident in my skills, AI isn't all that great. It's all hype. You can get to the frontpage of HN. And if you're Peter Steinberger you can get acquired by OpenAI for a billion dollars. But that's about it. The code isn't getting any better. This reminds me of that C-compiler-in-Rust publicity stunt by Anthropic. There's no substance. It's just a headline.