AI in engineering is an accelerator. If you are producing slop software, which most teams are, then it’s just going to accelerate the rate at which you can produce shitty software and bad code.

If teams are producing high-quality software, then it accelerates those teams’ ability to deliver that quality.

It’s because the average quality of code that they are trained on is like that. Most code that is written by humans is slop, and the models represent that.

Producing overly complicated solutions to uncomplicated problems