ended4월 17일· 1 sources
Engineering Beyond the Prompt: The Shift from API Wrappers to Resilient AI Systems
단순 API 호출은 그만, AI 제품의 성패는 '제품 엔지니어링'에 달렸다
Why it matters
Most AI products fail to scale because they lack the rigorous engineering required for production-grade reliability and adaptability. Shifting focus from model selection to feedback loops and observability is essential for creating long-term value in an evolving data landscape.
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AI Product EngineeringLLMObservabilityFeedback LoopsProduction AI