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Beyond Benchmarks: The Operational Breakthrough in Long-Horizon Agents
벤치마크를 넘어: AI 에이전트의 실제 운영 시대
Why it matters
The real breakthrough in AI agents isn't raw capability but operational integration—agents can now work within actual environments, inspecting files, running code, and iterating based on real feedback. This shift matters because it transforms agents from code generators into systems that can genuinely verify and improve their own work, moving beyond benchmarks to practical deployment. Software development emerges as the natural proving ground because it uniquely enables this verification cycle: code is testable, reversible, and its success is objective.
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Long-horizon agentsClaude CodeAgent autonomyOperational verificationFeedback loops