Compare Single-Agent and Multi-Agent Designs
AMDSoftware Engineer · OnsiteLast updated
Compare single-agent and multi-agent systems through task independence, specialization, review isolation, coordination cost, shared-state control, and evidence-based integration.
Compare a single-agent design with a multi-agent design for a complex technical task. Explain when multiple agents help and when they make the system worse.
Constraints & Assumptions
Assume agents can use tools and exchange bounded results. State whether work is independent, whether state is shared, and which role owns the final decision. More agents do not automatically provide independent evidence.
Clarifying Questions
Can the task be partitioned without constant coordination? Does a reviewer need isolation from the author's reasoning? What are the latency and cost budgets? Who can mutate shared artifacts?
Follow-up questions
- How do you prevent two agents from editing the same artifact? What must a handoff contain? When should a coordinator reject a result or send it back for revision?
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