[mpalmer]

I don't think that's the problem. It's time and effort; junior devs (and more broadly, humans) always want to see how little they can spend; here they incorrectly believe they can lean on LLMs and get a guaranteed increase in quality output. Even if that were true today (and we're nowhere near that), you would still either have to know how to evaluate the output for correctness, or trust that the model has handled it.

Junior devs seem to just trust it now, because they literally don't know better.