I still rely heavily on plan modes, first to think through product design from the 3-sentence descriptions handed to me as super-complex feature requests, and second to implement the technical requirements I want to build. Way before AI, I think the first idea, while sparked by inspiration, has always created a local minimum and suggested that something could be done around a problem, but it was rarely the best idea. I think the speed at which the models can turn a bad idea into code will lead to bad, design across systems and interfaces. I am also very pedantic about how the data models get implemented, and I want to be sure that things are built in the way I want them to. I'm also very pedantic about how specific if statements and dicts are created, and again, the models make it easy to do things a shitty way. These are hard-learned lessons of several decades of shooting myself in the foot and locking myself into less-than-ideal design patterns. I spent two days going through designing and planning for the LLM to build the actual feature in less than 2 hrs; once it's set, it's lost. It has made testing go very quickly and i am deploying a very complex feature and high risk feature in a 4 days when without the models it would have taken probably 4 weeks to get right.