Replying to an earlier post

AI can handle boilerplate and any coding project that has been done ad nauseam. AI can’t handle legacy system quirks, creative problem solving, or massive projects with changing requirements. I don’t think the AI bubble will be around long enough for them to solve these shortcomings or the issues of expanding scope and scale leading to hallucinations.

To me AI is just impressive enough to convince managers and inexperienced developers it is the future. I’ll believe that when a Fortune 500 company rebuilds their whole entire tech stack via AI, and I think AI could solve climate change before it could do that haha.

Replying to an earlier post

Could you give some examples of AI handling complexity? From what I’ve read from senior developers is that the more scope AI has to chew on the more mistakes it makes. In terms of complexity I’m not talking about algorithms, differential calculus, or mind breaking recursion. I’m talking about the usual hodgepodge of monolithic microservices too many “Were a tech company that does X” companies have built over the past decade that are layered on top of software built before I was born.

Maybe I’m just creating too complex and specific use case, but my time as a software developer had me working through problems like that.