Is this an especially better (easier, more efficient) route to a working, quality app/system than conventional programming?
I’m skeptical if the answer to the way to achieve 10x results is 10x more effort.
You could easily end up with a lot of rules if you are working with a reasonably large codebase.
And as you work on your code, every time you have to deal with an issue of the code generation you ask Cursor to create a new rule so that next time it does it correctly.
In terms of AI programming vs conventional programming, the writing's on the wall: AI assistance is only getting better and now is a good time to jump on the train. Knowing how to program and configure your AI assistants and tools is now a key software engineering skill.
We could use it for LLM driven coding style linting. Generate PRs for refactoring. Business logic bug detector
Also, you can just tell copilot to write rules for you.