I built a GPU inference engine in Rust that runs Meta's SAM 3 end-to-end on Vulkan. No CUDA, no PyTorch at deployment. 7.9 MB runtime. 1 GB int8 weights. 314 ms vs 346 ms (PyTorch CUDA bf16, RTX 4070, image + 6 text prompts). Code: github.com/automataIA/onnx-v…

Rewrote my coding agent: from ~111k lines of TypeScript -> ~21k of Rust. 222 MB of Node -> one 14.5 MB binary. Paired vs Claude Code, same model: 479k input tokens per task against 4.07M. 73 credits per solve vs 343. One binary: TUI, CLI, Zed, VS Code. github.com/automataIA/sir-bo…