Controversial take about the quality of the code generated by AI

I'm reading lots of people on reddit ranting about the quality of the code generated by AI (even frontier models). Most of the points I see are valid: - Unreadable code - Redundant and duplicated logic - Overuse of comments - Cosmetic tests - etc A bit of context about me: I have worked on big projects following different architectures in both IT services companies, big financial institutions and startups in my career. During my career, I've never ever seen a clean codebase and people writing code up to the standards people are expecting from AI and that's kinda baffling me. It's almost like people forget that shit/unmaintainable code already existed and would still exist, even without using AI to generate it. I feel like people are expecting too much from these tools or are using it poorly (unoptimized workflows, repositories, conventions etc). Still, they are expecting the code generated by AI to work perfectly on the first prompt while following standards they probably wouldn't even follow themselves if they had to write it by hand, without making any effort into review, tweaks, etc. That is, in my opinion, extremely delusional. Downvote me to oblivion, tell me I'm wrong or roast me, I'm prepared for it.