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The "handoff tax" reveals that switching between models can significantly degrade performance while increasing costs, challenging the assumption that stronger models always yield better outcomes in coding tasks.
Richer trace representations can dramatically enhance failure attribution in multi-agent systems, achieving new benchmarks in accuracy.
