How do you deal with the context wipe when starting a new AI chat?
热度趋势
趋势数据积累中
百分比基于当前可用热度信号，而非评论数或独立用户人数。
用户在使用Cursor、Claude Code和ChatGPT等AI工具时，经常面临“上下文清除”的问题，这意味着每次开始新的AI聊天时，都需要重新解释项目细节、技术栈和之前的决策。这种重复的重新初始化不仅耗费时间，更导致了工作流程的动力丧失。为了避免这种“上下文税”，用户有时会限制自己只使用一个工具，这违背了使用多个专业工具的初衷。社区正在积极探讨解决方案，例如维护运行文档或规则文件，以应对这一日常挑战。
every time i open a new chat, the AI has no idea what i built yesterday. i re-explain my stack, my conventions, the decisions i made an hour ago. you can paste a summary, but you always wonder what context you forgot to include.
the worst part isn't the time. it's the momentum loss. you were in flow, making real progress, and now you're spending five minutes re-priming an AI that should already know your project. after a while you start limiting yourself to one tool just to avoid the context tax, which defeats the point of using multiple specialized tools in the first place.
i've been hitting this daily across cursor, claude code, and chatgpt. curious how others handle it. do you keep a running doc of context to paste into every new session? some kind of rules file? or do you just accept the re-priming as a cost of working with AI?