In Google, there is a process called "Large Scale Change" which is primarily meant for trivial/safe but extremely tedious code changes that potentially span over the entire monorepo. Such as foundational API changes, trivial optimization, code style etc etc. This is a perfectly suitable for LLM driven code changes (in fact I'm seeing more and more of LLM generated LSC) and I guess a large fraction of mentioned "AI generated codes" can be actually attributable to this.
yeh, but the main problem is the quality. with algorithm bug can be fixed. with llm it's more complicated. in practice they do some mistakes consistently, and in some cases cannot recover even with assistance. (don't take me wrong, I'm very happy with the results most of the time)
