[simmerup]

The problem is it’s impossibly hard to test all the edge cases

Which is probably why so many random buttons in microsoft/apple/spotify just stop working once you get off the beaten path or load the app in some state which is slightly off base

[marcosdumay]

The problem is worse than that.

The number of edge cases in a software is not fixed at all. One of the largest markers of competence in software development is being able to keep them at minimum, and LLMs tend to make that number higher than humanely possible.

[disgruntledphd2]

Yeah, the biggest thing I've noticed from LLMs is that large tech products now have even more bugs. Turns out the humans weren't so bad after all...

[michaelcampbell]

> Turns out the humans weren't so bad after all...

The people pushing AI _over_ humans never thought they were. They just don't care about 'good' or 'bad', only 'time-to-market'. A bad app making money is better than a good one that isn't deployed yet. And who cares about anything past the end of the quarter? That's the next guy's problem.

[louiereederson]

I'm wondering if companies are 'diverting' engineering resources from core products to AI products with the view that the former are legacy. Kind of two sides of the same coin though.

[SpicyLemonZest]

I'm sure there's a lot of AI investment, but I've definitely also seen fixed sets of core product engineers shipping a lot more bugs these days.