Here is the complete, publication-ready Hashnode article formatted cleanly in Markdown. You can paste this directly into Hashnode's editor. Stripping the Python Tax: How We Ported vLLM Concepts direct
Introduction A common belief in modern software engineering is that Large Language Models (LLMs) inevitably break down when handling low-level systems programming in C, C++, Rust, or Zig. Developers o
Building an edge-first, fail-closed voice & vision pipeline with ~8-40 MB RAM footprints and sub-millisecond local triggers.
Voice Activity Detection Without a Neural Net: A C23 + Rust DSP Engine in 10–40 µs FFI / 1 ms per Frame Most local LLM voice apps run a heavy model (Whisper, a PyTorch or ONNX runtime) just to answer