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For the same reason that increasing headcount never really solved the bug problem.

Flawless software isn't the goal, ever. Feature development is almost always the primary goal, and fixing bugs and performance issues is only done if the bug is bad enough.

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I don't think you're wrong overall, and it jives with tripleee's reply, but I don't think wanting end-user software to be less buggy than it currently is is asking for "flawless" software.
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Because those don't increase business revenue. People aren't making their buying decisions off that
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AI doesn't really make the process better or more reliable, it just speeds it up.

Like the old quip that a cup of coffee lets you do stupid things faster.

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Because it hasn't been that long since the November singularity.
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Because the goal isn't to make the future better for humanity. It's to make the future more addictive for humanity. Big difference. More clicks, more ad views, more engagement, not necessarily more pleasant. I mean, that's obvious.
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> why isn't it getting better?

Lack of information. When you are on the building side you become blind to its faults. Consumers almost never tell you what isn't good about it.

> why is it all still so buggy?

Also lack of information. I haven't seen any bugs in years in the things I've worked on. LLMs have closed every last obvious testing gap, squashing any outstanding bugs there. That's not to say it is all bug-free now, but what bugs users may be experiencing aren't being reported.

AI is good at building software, but it is still not good at consuming software like actual consumers do.

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