This is one of my theories why AI is well-suited for these kinds of projects. It's mostly CRUD, written in well-known patterns. This not to discount the programmer or the job in general, it's what the task calls for.

Scientific programming, hardware interfacing, embedded, demoscene, game engines, HFT or HPC calls for much different breed of code, and generally way harder to formulate in code w.r.t. these enterprise projects. Trying to make hardware go faster with more efficient code is much harder than optimizing an SQL query and safeguarding it, and these are well understood problems, in general.

Yep, LLMs excel here because most of the time analogous solution is already in the codebase. Most of my initial promtps include "look how it's done in X and do the same".