Comment by preg_match

I agree, but this works too because AI makes prototyping more rapid. It's common to be stuck with suboptimal solutions because of time constraints. Maybe the feature isn't really what the customer wants, or maybe the code isn't actually very good. But it reaches prod anyway.

But, with AI, the cost of code has gone down more than it already has. Well, cheap things are easy to throw away. So you prototype, prototype, prototype, and close the loop as much as possible with the customer. True agile development, not big A Agile.

The problem is this requires alignment from management, and we're just not seeing it at many company. They can't grasp that things have changed, and that throwing away code is free. They don't trust engineers to close that gap, so customers and stakeholders are still waaaaaay over there and we're delivering features they don't want.