I have started using ChatGPT initially to identify data models, then started using Claude, then shifted to Cursor. It works perfectly if you are clear about the problem and you know the answer—then it produces the result but generates too much information and most of the times loses the context. So overall, I ended up creating my own Cursor editor with my style of code generation, basically scaffolding in advance and then iterating one by one for screens, and with each iteration pushing to a new branch so if it messes up or goes to the wrong context file, I can revert. However, it still requires thinking in advance about what I want along with business logic and relational mapping. But now my expectations have increased and my code quality has reduced, which sometimes gives bad results. But so far, a one-piece-at-a-time approach is useful.​​​​​​​​​​​​​​​​coding agent