LangChain Academy 讲解评估驱动开发：三步改进智能体
LangChain 团队把“怎么让智能体越改越好”拆成了三步评估流程，还配了完整博文。自己搭智能体的开发者照着做，能避免改动后效果退化的问题。
LangChain Academy 团队的 divyasan0 发布教程，介绍 eval-driven development（评估驱动开发）的三步流程，用于持续改进智能体。配套博文发布在 langchain.com/blog。核心做法是把评估嵌入开发循环，让智能体随迭代逐步提升。教程面向使用 LangChain 构建智能体的开发者，讲解如何通过评估结果定位问题、验证改动。
对开发者来说，这篇内容回答了一个常见痛点：智能体上线后不知道改动是变好还是变坏。三步流程提供了一个可复用的工作流，把评估当作开发的驱动手段而非事后检查。配套博文可作完整参考。
How do you improve your agents? @divyasan0 from the LangChain Academy team walks through how the three steps of eval-driven development, a strategy for using evals to help build agents that improve over time. langchain.com/blog/what-is-e… ?📊 1 ⚡
This report is categorized under AITOP's "How-to" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include LangChain, 智能体, 评估驱动开发, 开发者教程.
Source attribution: curated from LangChain (@LangChainAI).
