I want to see the evolution of context management tools for coding with GPT.
- implement a function, providing structural context (e.g. model, service, controller) with stubbed modules, but leave out utilities/libraries and database model
- drop the structural context, and ask it to expand the stub implementation with some additional context about the database model
- drop the database model context, and ask it to refactor the solution with some additional context about utilities/libraries
I think this is doable, if we can build up some utilities for context management and iterative development, GPT should start to be usable on large code bases. It could work similarly to how one person wrote an entire novel using GPT.
- implement a function, providing structural context (e.g. model, service, controller) with stubbed modules, but leave out utilities/libraries and database model - drop the structural context, and ask it to expand the stub implementation with some additional context about the database model - drop the database model context, and ask it to refactor the solution with some additional context about utilities/libraries
I think this is doable, if we can build up some utilities for context management and iterative development, GPT should start to be usable on large code bases. It could work similarly to how one person wrote an entire novel using GPT.