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You’re just objectively wrong. I hate to be the bearer of bad news, but you can see their raw objective scores across numerous software engineering metrics.
I’m a programmer that’s been in the business for decades. That doesn’t make me any more correct than you. I have seen it write some impressive things at impressive speeds. If you haven’t that’s fine. You just haven’t seen it work then. But it doesn’t matter what I have seen or what you’ve seen. What matters are data, and the data are clear when it comes to ability.
Not ability per unit water consumed, dollar spent, or per unit power consumed, but ability nevertheless.
It does write code that usually works, but it makes absolutely rookie mistakes that are, like, worse than junior engineer level. If that impresses you, then so be it, but in my 28 years of writing code, I’ve never been less impressed by something with as much hype as AI agents have.
Btw, there’s not really an objective way to measure software engineering skill. Even the best tests don’t take into account all aspects of engineering skill. That’s why I would be only one of like ten engineers interviewing the same candidate at Google. The “objective” tests are called phone screens, and they’re just the first round of interviews. If you can’t pass those, it usually means you’re not qualified to be an engineer, but just because you can pass them doesn’t mean you are qualified.