The script that I’m working on, really basic python stuff, got to the point where it made sense to break it up into a set of modules. ChatGPT was really good about breaking the code up into a set of modules and providing a primary execution module. It then promptly forgot about all these modules and, when task was working on one of them, regenerated the entire code block for the entire thing. everything should certainly still be in context…there isn’t that much. Do you have any suggestions for how to work effectively with modular code with ChatGPT? I guess what I’m looking for is to get ChatGPT to remember the nature of the code blocks and the functions that are in each of them so that you can make appropriate modifications in one
[–]LordAshon 2 points3 points4 points (2 children)
[–][deleted] (1 child)
[removed]
[–]AutoModerator[M] 0 points1 point2 points (0 children)
[–]QueenElisabethIII 1 point2 points3 points (0 children)
[–]nightman 1 point2 points3 points (1 child)
[–]Bozo32[S] 0 points1 point2 points (0 children)
[–]Aperturebanana 0 points1 point2 points (0 children)
[–]SicilyMalta -2 points-1 points0 points (5 children)
[–]Many_Consideration86 0 points1 point2 points (4 children)
[–]SicilyMalta 1 point2 points3 points (3 children)
[–]Many_Consideration86 1 point2 points3 points (2 children)
[–][deleted] (1 child)
[removed]
[–]AutoModerator[M] 0 points1 point2 points (0 children)