A new survey paper introduces the concept of "code as agent harness," proposing that code should be viewed as the fundamental infrastructure for AI agent systems. This perspective organizes research into three layers: the harness interface connecting agents to reasoning and action, harness mechanisms like planning and memory for execution, and scaling these harnesses to multi-agent coordination. The paper highlights applications across various domains and outlines open challenges in areas such as evaluation, verification, and safety. AI
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IMPACT Proposes a unified framework for developing more robust and verifiable AI agent systems by centering code as their foundational infrastructure.
RANK_REASON Survey paper introducing a new conceptual framework for AI agent systems. [lever_c_demoted from research: ic=1 ai=1.0]