The agents communicate through different paths. First, there's a "big boss" orchestrator that decides who speaks next. The outputs from all agents (including the code from the coding agent) is put into a shared context that each agent can draw from. Practically speaking, to make this happen we use AutoGen framework.
We slowly started building more and more agents. Everything we tried just worked (kinda amazing). We first started by trying to incorporate visual understanding via VLMs. Then we slowly added more and more agents, and the BlenderRAG gave a huge boost.
Interesting idea. Our framework of having multiple different agents with different roles could play well with this. You could create an agent that checks for certain criteria, gives feedback to the coding agent. For example, you could build an agent that evaluates the toughness of the current 3D asset and suggests fixes. I like the idea of incorporating additional experts to solve different tasks!
We slowly started building more and more agents. Everything we tried just worked (kinda amazing). We first started by trying to incorporate visual understanding via VLMs. Then we slowly added more and more agents, and the BlenderRAG gave a huge boost.