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Focus Shifts to Structured and Verifiable AI Development

The observed trend moves beyond simple model capability improvements toward building highly reliable systems that function within complex, real-world constraints. This is evidenced by the focus on using composable architecture frameworks or subjecting AI to rigorous validation through high-difficulty benchmarks like the Ramanujan Challenge. Furthermore, securing efficiency and robustness has become a critical concern across diverse domains, from optimizing RAG performance to streamlining embedded system security patches.

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As of Nov 5, 2026, 8:41 AM UTC

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ZennOctober 13, 2026

판단(Decision)을 닫기 위한 데이터와 재개하기 위한 기록

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본 글은 단순한 데이터 이력(History)을 넘어, 과거의 '판단'과 그 판단의 근거를 기록하는 중요성을 다룹니다. 단순히 무엇이 일어났는지보다, 왜 그렇게 결정했는지에 대한 맥락적 정보를 보존해야 다음 작업자가 오류 없이 업무를 이어갈 수 있습니다.

adr
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decision-making
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Focus Shifts to Structured and Verifiable AI Development

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Focus Shifts to Structured and Verifiable AI Development

판단(Decision)을 닫기 위한 데이터와 재개하기 위한 기록

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실무자가 작성한 RAG의 정답 데이터는 '문서 외'를 포함한다: 지우지 않고 나누어 측정하는 평가 방법 설계