This is great. Ive been using GPT based tools extensively for my side project which I have a demo for(http://drophere.co http://drophere.co see code at https://

This is great. Ive been using GPT based tools extensively for my side project which I have a demo for(http://drophere.co http://drophere.co see code at https://github.com/itissid/drop_webdemo https://github.com/itissid/drop_webdemo) one thing I think that is missing is a couple of agents that can pick out the right context from my code depending on what needs to get done. Let me explain: They are a couple of patterns that I used to design chunks of the web app: One is to do a high level design brainstorming with an agent, write some pseudo code. Which is fine with regular GPTs with limited context lengths. As I got into the implementation details, there are several sub components which themselves require a dedicated agent because they become 1 week sprints to complete with 100's of loc. But I need them to pull context from other agents of the project, which is missing., This latter part could be done by along the lines of this research. I think a couple of projects are trying to do this using traditional RAG like GPTEngineer can benefit from this.