This is hallucination. Or maybe a sales pitch. If production bugs and the requirement to retain a workable code base don’t get us to write “good” code, then nothing will. And at the current state of the art, “AI” will tend to make it worse.
> For decades, we’ve all known what “good code” looks like.
When relatively trivial concerns such as the ideal length of methods haven't achieved consensus, I doubt there can be any broadly accepted standard for software quality. There are plenty of metrics such as test coverage, but anyone with experience could tell you how easy it is to game those and that enforcing arbitrary standards can even cause harm.
Is the consensus not that there isn't one? Surely that's the only consensus to reach? I don't see how there could possibly be an "ideal length", whatever you pick it'd be much too dogmatic.
But taking them as general rules for coding makes as much sense as applying advice for painting a bridge to painting the Mona Lisa. Seriously, try to come up with a single piece of advice about programming style that applies to every domain. The closest one I can think of is "give descriptive name to your variables", and even that doesn't apply to lots of code written to this very day. It's impossible.
Software in 2025 is far too varied for any of that to make sense, and it has been for many decades.