The best code is that which explains itself most efficiently and readably to Whoever Reads It Next. That's even more important with LLMs than with humans, because the LLMs probably have far less context than the humans do.
Developers often fall back on standard abstraction patterns that don't have good semantic fit with the real intent. Right now, LLMs are mostly copying those bad habits. But there's so much potential here for future AI to be great at creating and using the right abstractions as part of software that explains itself.
