Comment by phil21

Pretty much. For my home IT projects I have been playing around with various means of implementing agents.

I’ve looked at the outputs here and there - and holy hell would it never pass review if I were trying to make something robust and anti-fragile. But since I can just have AI spit out a fix for the horrific “code” when it breaks in a totally predictable manner it’s just not worth my time to try to actually sit down and get it done right. Or even fight with AI by providing a good specification and design guidelines.

I imagine this is how things are going in the real world, given 30 years of working with various levels of humans. So long as the output is “good enough” it is the extreme minority of folks who care about much else. And that’s for mid-level to senior folks who have the experience to know better. Juniors wouldn’t even be able to pick out most of even the most obvious anti-patterns AI tends to spit out such as putting configuration within code, etc.

Refactoring is just in a new world too, that us olds probably have a hard time with. It’s no longer examine the code, identify design gaps, find high leverage places to start fixing, etc. It’s now “this is broken, rewrite from scratch” when it eventually turns into too much spaghetti.

In some ways being entirely focused on the outcomes is freeing in a way. But man under the hood is crazy and a whole new world.