ended4월 24일· 1 sources
Beyond the Model: Why AI Agent Reliability Is a Systems Engineering Problem
모델을 넘어서: AI 에이전트 신뢰성을 결정하는 것은 Harness 엔지니어링이다
Why it matters
AI agent success depends more on the harness—the system controlling the model—than the model itself. Moving from prototype to production requires sophisticated error handling, state management, and observability, since errors become the norm rather than exceptions. This shift reveals that reliable AI systems are built through disciplined systems engineering, not model optimization.
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Agent harnessError handlingState managementObservabilitySystem design