# 编码智能体应设计循环而非提示

- 来源：Yuchen Jin (@Yuchenj_UW)
- 发布时间：2026-06-09 01:26
- AIHOT 分数：57
- AIHOT 链接：https://aihot.virxact.com/items/cmq5i19ws084nslt2mnbavqt5
- 原文链接：https://x.com/Yuchenj_UW/status/2064036389746831813

## AI 摘要

总体来说：

“你不应该再提示编码智能体了。你应该设计循环来提示你的智能体。”

循环是临时解决方案：如今的大语言模型判断力很差。它们难以判断何时继续、何时停止或何时调用工具。循环强制智能体更长时间地工作。

对于目前可验证的目标，循环非常强大，正如AutoResearch所示。

## 正文

On the whole：

"You shouldn't be prompting coding agents anymore. You should be designing loops that prompt your agents."

Loops are the temporary workaround： today's LLMs have poor judgment. They struggle to know when to keep going， when to stop， or when to call a tool. Loops force agents to work longer.

Loops are incredibly powerful for verifiable goals for now， as AutoResearch shows.