One of my favorite aspects of coding a project from the ground up is designing the database schema, anticipating how things will need to scale. To me it's something better done first with paper and pencil. Then I'm constantly discovering the ways in which I need to reconsider parts of the data structure as I begin writing and tuning queries, figuring out where bottlenecks will be. I don't consider it "just implementation" in the way I do, like, writing UI components or user action trees. My concern is that if I didn't go through that process, mentally and on paper, but took GPT's suggestions at some turns, I would never really have the handle on the strengths and weakness of the underlying model that I have from knowing every nut and bolt. Which would likely lead to all the software I wrote on top of it being less robust than it could be.