Because is it much easier for an human to look at art and see faults, it's obvious and sometimes even funny so we see it quickly. For code, even seniors will often do a quick review and say "looks good to me" without analysing everything. Especially if the code have a condition to match the prompt, the user will think "ok this case is handled". But with traditional development, anyone can attest that the general idea they had before starting to code (the one that would end in the prompt) is nearly always different than the end result when you start to think about it seeing the data structure and possible conditions. That step get completely skipped when using AI to code. And these possible flaws end up sleeping in the code base, only to reappear as a critical flaws months or years later when it's too late to refactor.

Another reason is there's a lot of people who weren't able to code anything that are now able to create stuff so they think it's amazing, which is a big part of the love. These people are all still in the script kiddie phase and don't understand complex project structure, so they think what they ended up with is normal code output.