Great summary. I would add not using LLMs to learn something new. As OP mentioned, when you know your stuff, you are aware of how much it bullshits. What happens when you don’t know? You eat all the bullshit because it sounds good. Or you will end up with a vibed codebase you can’t fully understand because you didn’t reason to produce it. It’s like driving a car and having a shitty copilot that sometimes hallucinates roads, and if you don’t know where you are supposed to be, wherever that copilot takes you would look good. You lack the context to judge the results or advice.

I basically use it now days as a semantic search engine of documentation. Talking with documentation is the coolest. If the response doesn’t come with a doc link, it’s probably not worth it. Make it point to the human input, make it help you find things you don’t know the name of, but never trust the output without judging. In my experience, making it generate code that you end up correcting it’s more cognitive heavy load than to write it yourself from scratch.