評估驅動開發（Eval-driven development）：更快打造更好的 AI 應用
Original: Eval-driven development: Build better AI faster
As generative AI applications become more widespread, one of the biggest challenges developers face is the "non-deterministic" output of…
Vercel 提出「評估驅動開發（EDD）」概念，解決 AI 輸出不確定性帶來的測試難題。 EDD 類似於軟體工程的測試驅動開發（TDD），強調在調整提示詞或模型前先建立評估數據集。 透過自動化評估（如 LLM-as-a-judge），開發者能更具信心且快速地優化 AI 產品，避免改動導致效能倒退。
As generative AI applications become more widespread, one of the biggest challenges developers face is the "non-deterministic" output of large language models (LLMs). Traditional unit testing in software engineering struggles to handle the variable and subjective nature of text generation results. To address this, Vercel advocates for an "Eval-driven development (EDD)" workflow that aims to bring the rigor of test-driven development (TDD) into the AI domain.
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