I've quoted you two tools (Ghostty and Redis) whose development now regularly uses AI assistance to deliver production code. I quoted those because their authors shared their experiences, the strengths and the limits of the tooling.
There's many more, from Flask to Docker, from Ruby to FastAPI or Tanstack. LLVM has integrated AI-generated PRs, so did Swift and Mojo. Sasha Levin has pushed into Linux Nvidia-related kernel changes that were authored by LLMs in 6.15. You can be certain there's a magnitude more where people don't admit or tag their PRs as AI generated or co-generated.
In fact I am quite confident that projects and developers that are not leveraging the tools are increasingly rare. There's really no reason in 2026 to write a non-trivial PR and not ask a cheap review to an AI tool.
The industry is changing, I don't really like the trends I'm seeing, but to state that LLMs cannot and are not writing production code, very often quality ones, (especially when used, setup and overviewed properly) is plain denial.
Your anecdotal experience isn't relevant, especially when applied to the largest parts of the industry, composed of mediocre developers working on terrible codebases.
