The trick is to split the code into smaller parts.

This is how I code using ChatGPT:

1. Have it analyze how to structure the program and then give me the code for the outline with not yet implemented methods and functions.
2. Have it implement the methods and functions one by one with tests for each one.
3. I copy the code and test for each method and function before moving on to the next one So that I always have working code.
4. Despair because my code is working and I have no idea how it works and I have become a machine that just copies code without an original thought of my own.

This works pretty well for me as long as I don’t work with obscure frameworks or in large codebases.

reality: the code is written in 5 minutes, and it’s never debugged because the developer was fired by management. The buggy code is sent straight into software production

It seems that you gotta learn prompt engineering

I’ve been having a great time with copilot