I think we agree, but maybe I wasn't writing clearly. You're describing building a green field app starting from nothing, step by step. GPT shines at things li

I think we agree, but maybe I wasn't writing clearly. You're describing building a green field app starting from nothing, step by step. GPT shines at things like this, because they are by definition small code bases. You can probably fit the whole codebase into the context window. Also, your approach of walking it through step-by-step is perfect, since you get to guide it to build a wise code architecture as you go. It's hard to naively point GPT at a big, existing repo and try and do non-trivial changes to that codebase. Without a bunch of tooling to help it understand the overall codebase, it won't understand or respect the existing modules, abstractions, etc. It will just start trying to write code in a vacuum, which probably isn't the right thing to do when modifying an existing codebase.