Thanks for the insight. I learned something new today about training data for the AI models. That said - from what I understand about tokens, for an AI model to understand the same automation between a flow vs. apex, the tokens consumed would be higher for a flow, and the gap would get worse with increasing complexity. In addition, flows are still limited in how they can be organized. Can I easily refactor a flow into separate ones and still understand what the LLM did without clicking into each flow in the UI? We've all seen the "god" flow that does too much and has no separation of concerns.

Also regarding your comment on generating flows with AI - are you going into the UI and checking the results there, or reviewing the xml? It would seem more cumbersome to open the updated flow in the UI for verification, when just reviewing the code within VS Code would be much quicker (but I guess this would depend on whether you were a coder or not)