I have a feeling that people who got bogged down in step 3 were the kind of people who write a lot of wordy corporate boilerplate with multiple levels of abstraction for every single thing. AKA "best practices" type coding.
For me the most important part of a project is working out the data structures and how they are accessed. That's where the rubber meets the road, and is something that AI struggles with. It requires a bit too high a level of abstract thinking and whole problem conceptualization for existing LLMs. Once the data structures are set the coding is easy.
For me the most important part of a project is working out the data structures and how they are accessed. That's where the rubber meets the road, and is something that AI struggles with. It requires a bit too high a level of abstract thinking and whole problem conceptualization for existing LLMs. Once the data structures are set the coding is easy.