提示词写不精准是 AI 编程最常见的失败原因
精选理由
说得很实在：不是模型不行，是你提示词不够准。在陌生领域让 AI 干活容易一直返工，这条能帮你避开。
一篇帖子指出，最常见的失败场景是用户在非自己专业领域使用 AI 编程工具，因无法精准写出提示词和计划，只能反复多轮迭代修正，浪费大量对话轮次。作者认为问题核心在于提示的精确度不足，而非工具本身能力不够。
原文 · Thariq
the most common failure case I see is when people are working outside their domain of expertise and don't know how to be precise with their prompts and plans, so they have to spend a lot of turns iterating imprecisely
