精选理由
LangChain 把 Agent 从实验到生产的工程化路径讲清楚了，做 AI 应用落地的团队可以直接对照自己的流程，看看缺了哪一环。
LangChain 指出，虽然很多团队都想发布 AI Agent，但真正在生产中让 Agent 稳定运行的团队，并不将其视为一次性实验或孤立项目。他们构建的是一个可重复的系统，涵盖构建、测试、部署、监控和改进五个阶段，即 Agent 开发生命周期。这一方法论强调持续迭代和系统化流程，而非一次性交付。对于正在或计划将 Agent 投入生产的团队来说，这是值得参考的工程实践。
原文 · LangChain
Everyone wants to ship agents. But the teams making agents work in production are not treating them...
Everyone wants to ship agents. But the teams making agents work in production are not treating them like one-off experiments or isolated projects. They’re building a repeatable system for shipping, learning, and improving over time. That system is the Agent Development Lifecycle: Build → Test → Deploy → Monitor → Improve 💬 4 🔄 2 ❤️ 10 👀 1119 📊 6 ⚡