Fast and Hard Code

LLMs have reduced the importance of language familiarity, letting developers choose “hard” languages like Rust or Zig for speed-focused projects, with agents capable of optimizing code without altering behavior. This has enabled broader adoption of performance-critical technologies such as DWARF, eBPF, custom drivers, crypto, and legacy hardware, often with LLM assistance.