上下文工程的诀窍：知道何时新开 Claude 对话线程
Context Engineering Is Knowing When to Start Over
作者分享在 Claude 和 ChatGPT 中关闭记忆功能、每换一个任务就新开对话线程的做法，即使仍是同一项目。文章指出即使单个线程内上下文也会累积导致 context rot，模型可能延续已放弃的指令、沿袭早前错误或漏掉关键细节。作者改编自 Drew Breunig 的 "How Long Contexts Fail"，介绍识别对话跑偏并在不丢失有用工作的前提下重启的方法。
Old instructions and earlier mistakes can derail your AI chats. Here’s how to reset without losing useful work.
Oct 16, 2026 · 11 min read
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The people I work with know I keep Claude’s memory turned off. The same goes for ChatGPT. I’ve written before about why: Memory can be useful, but it can also bring old preferences and irrelevant instructions into a conversation where they don’t belong.
Turning memory off doesn’t entirely solve the problem. Even within a single thread, context can accumulate in ways that make the model’s responses worse—a problem known as context rot. It might keep following instructions you’ve moved on from, build on an earlier mistake, or overlook a crucial detail buried in the conversation.
That’s why I start a fresh thread for every task. If the task changes, I open a new chat—even if it’s for the same project I was working on five minutes ago.
In my forthcoming book, Context Engineering with DSPy, I explore the seven ways in which context goes wrong and what to do about it. The book is written for engineers building AI products, but I’ve adapted the examples that follow—inspired by Drew Breunig’s “How Long Contexts Fail”—for anyone who uses AI chat. They’ll help you recognize when a conversation has gone off track and restart without losing useful work.
来源：Every：最新文章 · every.to