I’m curious about the "debate" mechanism within MetaGPT. If I give a requirement that is technically unfeasible, does the Architect agent actually push back on the Product Manager agent? I want to know if the framework can simulate real-world technical constraints or if the agents just agree with each other regardless of the project's complexity.
3 answers
The current version uses a sequence of "Actions" where the Architect reviews the PRD generated by the PM. While it doesn't "argue" in a human sense yet, the Architect agent is prompted to identify technical risks and dependencies. If the MetaGPT configuration is set up correctly, the Architect will output a "System Design" that flags impossible requirements as risks. However, it won't automatically loop back to the PM to change the goal without human intervention in the loop. You still need to act as the "CEO" to break ties and make final calls on those technical trade-offs.
Is there a way to force a multi-turn debate? I feel like the quality would improve if the agents had to "agree" on a solution before moving to the coding phase.
In my experience, the agents are quite compliant. They try to find a way to make it work, even if it's suboptimal. Human oversight is still 100% necessary for reality checks.
Agreed, Heather. It’s a tool for acceleration, not a replacement for a Lead Engineer’s judgment when it comes to system feasibility.
You can actually customize the "Environment" and "Roles" to include a feedback loop. By adding a "Technical Lead" role that must approve both the PRD and the Design before the Coder starts, you create that necessary friction. It requires a bit of Python knowledge to modify the standard class, but it makes the framework much more robust for projects with high technical complexity.