a massive number of data engineering agents. We are able to stand up, test, audit, deploy data pipelines much more efficiently with the foundational models.

Examples of them being useful?

Happier engineering teams? Happier end users of the data?

What does useful mean to you?

So far you've only explained that AI made your coworkers happier. That's fine, but weren't we talking about productivity? Doing more with less?

Correct. We were chronically understaffed and now we are able to actually breathe and can argue that we are finally right sized.

So far you have provided no evidence of achieving more results with less effort. You've only said that you can write more lines of code (effectively) and that your coworkers are happier

I have to wonder what sort of evidence you would accept? Because it seems to me that the original question was answered clearly enough and now the goalposts have shifted to demanding evidence that the answer wasn't falsified.

Well you answered how it is useful by saying it writes more lines of code and that seems to be the only way it's useful. But we all know that lines of code aren't productivity.

I don't see where that was said? As far as I can tell you've made that up.

The claim was that the same size team is now accomplishing more tasks than they would have without AI.