One approach you can use is to ask it to never write the code for you, which forces it to explain and then once you try the idea by coding yourself you get a better understanding of it. I use this approach with code I am required to maintain. It still bites me sometimes because the models still mixes a lot of incorrect information (usually just stuff that was correct in the past but is incorrect now). For throwaway and easy to verify scripts I ask it to generate, but I do ask to avoid over engineering and trying to catch all corner cases cause in scripts I prefer just letting things error as they are better understood as a step that failed. I also avoid languages I find hard to read (like powershell) and prefer to generate things that are short to fit in the monitor so I can read everything and understand (python, bash, batch are my goto scripting languages).