📄 中文摘要
在单一的 AI 助手中，提示的编写相对简单，通常只需一个系统提示和几个模板。然而，当系统扩展到多代理环境时，情况变得复杂。多个代理的指令会独立演变，导致提示漂移现象的出现。随着团队的不断扩大，管理和维护数百个提示变得更加困难，提示工程从一种技能转变为一种负担。此时，如何有效地管理和优化这些提示成为了一个亟待解决的问题。
大规模提示工程的隐性成本
出处: The Hidden Cost of Prompt Engineering at Scale
发布: 2026年3月16日
📄 English Summary
The Hidden Cost of Prompt Engineering at Scale
Writing prompts for a single AI assistant is relatively straightforward, typically involving one system prompt and a few templates. However, as the system scales to a multi-agent environment, complexities arise. Each agent's instructions evolve independently, leading to a phenomenon known as prompt drift. As the team continues to grow, managing and maintaining hundreds of prompts becomes increasingly challenging, transforming prompt engineering from a skill into a liability. Effectively managing and optimizing these prompts emerges as a pressing issue.