The definition of code quality is irrelevant to my argument as both human and AI written code are held to the same standard by the same measure (however arbitrary that measure is). 100 units of something vs 99 units of something is a 1 unit difference regardless of what the unit is.

By the time the AI is actually writing code, I've already had it do a robust architecture evaluation and review which it documents in a development plan. I review that development plan just like I'd review another engineers dev plan. It's pretty hard for it to write objectively bad code after that step.

Also, my day to day work is in an existing code base. Nearly every feature I build has existing patterns or reference code. LLMs do extremely well when you tell them "Build X feature. [some class] provides a similar implementation. Review that before starting." If I think something needs to be DRY'd up or refactored, I ask it to do that.