I’ve been thinking about this after seeing how quickly people are shipping AI products. In software engineering, there are a bunch of things that used to be normal until everyone realized they were terrible ideas. Deploying directly to production, no code reviews, hardcoded credentials, no monitoring… most teams wouldn’t even consider doing those today. It feels like AI is still in that early phase where everyone’s optimizing for speed, so a lot of things get a pass because it works. Things like giving agents broad permissions, constantly tweaking prompts in production, barely evaluating changes before shipping, relying on one giant prompt to do everything, or skipping human review because the outputs look good most of the time. Some of these might turn out to be completely fine. Some might end up being the AI equivalent of hardcoding passwords. If this industry keeps moving the way it has, what do you think people will look back on in a few years and wonder why we ever thought it was acceptable? submitted by /u/Meher_Nolan
Originally posted by u/Meher_Nolan on r/ArtificialInteligence