I'd say this is relative to the novelty of the problem domain. At work I'm often solving problems that have fairly standard solutions, e.g. Python scripts to au

I'd say this is relative to the novelty of the problem domain. At work I'm often solving problems that have fairly standard solutions, e.g. Python scripts to automate build and execution workflows. For this stuff I'm often happy to delegate architecture, and in general, since I spend a lot of time working with legacy code, the solutions the models develop are both clearer and more maintainable than what was already there. The personal project I'm working on (small research compiler for stateless computation) has sparse precedent, and because of this I spend a lot more time hashing out architectural questions with the models. I think of it as a collaborative enterprise.