I'm not sure where is the misunderstanding but your second paragraph is exactly why I ask AI the questions you question in the first paragraph. I ask the AI to do the domain research, see what we are starting from and THEN ask it to think about a feature. They are not really for me, they are for the AI to have good context what we are working on. As you said, the implementation is then almost trivial and the AI is less likely to mess it up.
The thing is, the domain is often more difficult than the actual implementation. And often only a subset matters (different for each task). So I’m wondering if teaching the AI the correct subdomain is indeed faster than just code the solution.
Also trivial work can benefit the coder. Like a light jog between full sprints for your brain. Reviewing code can be more taxing than writing it as you need to retieve the full context at once instead of incremental steps.
