I always laugh when I see a post that claims some tech is "easy". Sure, if all you're doing is creating a hello world script. But try to do something for which a client would pay you more than 25¢ for. Go ahead, try it. We'll wait (!). What about context length, or code validation, architecture, planning, large files...
It seems to me that people are missing the point. AI is a tool, useful for some things, not so useful for others. The old adage applies here quite well. To a man with a hammer, everything is a nail.
Having used AI quite extensively I have come to realize that to get quality outputs, it needs quality inputs... this is especially true with general models. It seems to me that many developers today just start typing without planning. That may work to some degree for humans, but AI needs more direction. In the early 2000s, Rational Unified Process (RUP) was all the rage. It gave way to Agile approaches, but now, I often wonder if we didn't throw the baby out with the bath water. I would wager that any AI model could produce high-quality code if provided with even a light version of RUP documentation.
Oh, yes it's easy. That's just so cute.