I find that the key is in working in the right size abstraction. If you ask gpt-4 to write whole apps for you, it usually can't get there. But if you architect

I find that the key is in working in the right size abstraction. If you ask gpt-4 to write whole apps for you, it usually can't get there. But if you architect the app in your head you can ask it to build it out one function at a time (with unit tests) pretty effectively. When I'm testing out a new LLM this is usually my go to. How far up the abstraction layers can I go? Still have to check the code yourself, ask it to troubleshoot etc. but I find this workflow pretty effective.