Four AI agents coordinating in real time outperformed Claude Opus 4.8 on enterprise coding tasks

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Four AI agents coordinated in real time outperformed Claude Opus 4.8 on complex enterprise coding tasks. Researchers at Coral AI Labs developed AgentRadio to enhance multi-agent system coordination during long-horizon tasks.
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As enterprise codebases grow, AI agents tasked with analyzing them are buckling under the weight of long-horizon tasks that require multiple interactions and tool calls. Dividing the work among a team of agents seems like the obvious fix, but it introduces a fatal flaw: most multi-agent systems are not designed for agents to coordinate among themselves mid-task and in real time. To solve this, researchers at Coral AI Labs and multiple universities introduced AgentRadio, an asynchronous message-p
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