In my experience AI often overlooks generalizations of ideas iteratively arrived at. I need to give it the idea, that something could be generalized and nudge i

In my experience AI often overlooks generalizations of ideas iteratively arrived at. I need to give it the idea, that something could be generalized and nudge it, to arrive at the solution. I imagine at competitive coding the goal is quite clear, but in a real world project, the goal is not always so clear, and especially in hobby projects the ideas and goals are not that clear. I get inspiration on how to improve my project or its usability, not the LLM. I instruct it to do something a specific way, because it doesn't do anything on its own, and I need to tell it what to generalize, which it failed to see, because it didn't consider a simplification which is technically less precise, but due to user context and human nature doesn't matter (in this case it was interpreting "now" to mean the current second, which is a small time range, instead of a mere point in time). So it still takes a ton of hand holding in a more open project. I imagine, one could also code it up in the same amount of time. But it is good for generating tons of test cases. Though one will have to review those, and impose a test style on them, give examples and so on.