AI · 2h ago
Multi-agent harness beats single LLM for cost and reliability
A well-designed multi-agent harness—with clear role separation, context discipline, and testing—outperforms a single powerful LLM on complex projects. Using a frontier model for planning and cheaper models for execution can match functional outcomes while slashing token costs. The key insight is that architecture matters more than model strength.
Meridian48 take
The article's practical advice on role separation and cost optimization is valuable, but it downplays the complexity of building and maintaining such harnesses at scale.
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Perché l’“harness” batte il modello: lezioni pratiche dai sistemi multi‑agente →
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multi-agent-systemsllm-architecture