Speaking of the output-competence decoupling, this is a signal that can be used in reverse to figure out what you can improve:

Planktonne: A general pattern for LLMs is that they look really good at things you are bad at. What that means is that if you find yourself thinking of its output as significantly better than yours in a particular domain, there’s a high chance that you are not equipped to judge that quality effectively.

This HN thread on Various LLM Smells has a few other choice thoughts:

pydry: Companies that don’t care about code quality always care about the side effects of poor code quality. They just can’t connect the dots.