It’s fantastic to be able to prototype small to medium complexity projects, figure what architects work and don’t, then build on a stable foundation.

That’s what I’ve been doing lately, and it really helps get a clean architecture at the end.

I’ve done this in pure Python for a long time. Single file prototype that can mostly function from the command line. The process helps me understand all the sub problems and how they relate to each other. Best example is when you realize behaviors X, Y, and Z have so much in common that it makes sense to have a single component that takes a parameter to specify which behavior to perform. It’s possible that already practicing this is why I feel slightly “meh” compared to others regarding GenAI.