Comment by mocamoca

I get pretty good results by writing specs and prototype with a LLM, through more or less managed conversations.

But once the prototype is done, I spend too much time refining the details, fixing everything going wrong (bas design details, wrong implementation, half done testing ...)

A full agentic setting would be too expensive for me (I wonder how much Garry tan spends...)

So I'd like to take a more balanced approach with: 1. usual LLM specs and prototyping to get the bases of the feature and boilerplate done 2. Write myself the code, with the help of an ai auto complete (this is Where I look for recommendations) 3. Use a setup as OP mentioned to review code