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Switching Vendors Means Starting Over? This Is the Biggest Trap of AI Tools

Mon, 25 May 2026 00:00:00 GMT

:::note[] I'm Yang Qing, an architect with 10 years of big tech experience turned solopreneur. I deconstruct business from a technical perspective to help you avoid common pitfalls. The content I share covers: boosting efficiency with AI tools, taking independent products global, and solopreneurship methodologies. :::

Have you ever wondered:

Why are AI tools getting better and better, yet you're getting more and more dependent on them?

01 Four Vendors, Four Independent Memories

A developer on Hacker News said something that made my blood run cold:

"I pay for ChatGPT, Claude, Cursor, and use Gemini through work. Four vendors. Four separate chat histories. Four separate profiles of how I think. They don't talk to each other. You switch vendors, you start from scratch."

Let me translate:

The context, preferences, and decisions you've built up in Claude — gone the moment you switch to Cursor.

The AI assistant you've carefully trained in ChatGPT — needs retraining from zero in Gemini.

You think you're using AI, but AI is trapping you.

02 This Isn't a Feature Issue, It's a Designed Trap

Another even more painful take:

"I use 4-5 AI coding tools depending on the task. What frustrates me consistently is: each tool stores context in a different place, in a different format. Switching from Claude Code to Cursor mid-project, you're starting from zero."

Do you see it?

This isn't a feature issue. This is a designed trap.

Every AI tool is building its own "walled garden."

Your data, your preferences, your memory — all locked inside.

Want to switch tools? Go ahead, but there's a cost:

Start from scratch.

03 The Migration Tax: Hidden Cost of Switching Tools

Let me break down the math.

Say you've used Claude for 3 months and accumulated:

Project architecture decisions: ~50 items
Code style preferences: ~20 items
Module dependencies: ~30 items
Bug fix records: ~100 items

Now you want to try Cursor.

What you need to do isn't "open Cursor and start."

It's:

Manually copy CLAUDE.md to .cursorrules
Reformat everything because the syntax is different
Re-explain the project background
Re-establish the context

The whole process: at least 2 hours.

And if you're using 4-5 tools simultaneously?

Repeat it for every single one.

This is the "migration tax" of AI tools.

04 Vendor Lock-in Is the Profit Strategy

So why does this happen?

Frankly put: vendor lock-in is the profit strategy of AI tool companies.

Claude wants you to only use Claude.

Cursor wants you to only use Cursor.

ChatGPT wants you to only use ChatGPT.

They have zero incentive to connect their memories with each other.

On the contrary, they have every incentive to keep you hooked.

The more you accumulate in Claude, the higher your cost of switching to Cursor.

So you stay put, even if another tool might suit your needs better.

05 ContextSync Breaks the Lock

So is there a solution?

Yes.

ContextSync's core function is to break this trap:

One memory, shared across all tools.

Decisions you make in Claude, automatically synced to Cursor, Windsurf, Gemini CLI…

Switch to a new computer, log into your account, and your memory follows.

Switch from Claude to Cursor, context migrates seamlessly.

No more "starting from scratch."

No more "migration tax."

06 Limited Beta, Only 20 Slots Left

Its core ability is simple: your AI memory follows you, not the tool.

Switch from Claude to Cursor, context migrates seamlessly.

Switch computers, log into your account, memory follows.

Limited availability, only 20 slots remaining.

Beta perk: Join the beta and submit your usage feedback, get one month of Pro (a $9 value) for free.

If you're tired of being "held hostage" by a single tool.

If you want the freedom to switch tools anytime without paying the "migration tax."

Add me on WeChat (dao24dao), slots are first-come, first-served.

Original article: https://mp.weixin.qq.com/s/72gDyBSFf87no0Dnhdwlew

Long-Term Overseas AI Large Model Proxy Services

Supports:

Memberships and API proxies for mainstream models like GPT / Claude / Gemini
Stable and high-speed, suitable for development, office work, content creation, and more

If you need this, add WeChat (dao24dao) for consultation.

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切换供应商就得从头开始？这是AI工具最大的陷阱

Mon, 25 May 2026 00:00:00 GMT

:::note[] 我是阳清，10年大厂架构师转型一人企业。用技术人的视角拆解商业，帮你少走弯路。 分享内容涵盖：AI工具效率提升、独立产品出海、一人企业方法论。 :::

你有没有想过一个问题：

为什么AI工具越来越好用，你却越来越离不开它？

01 四个供应商，四个独立记忆

Hacker News上有位开发者说了一段话，让我后背发凉：

"我付费使用ChatGPT、Claude、Cursor，并通过工作使用Gemini。四个供应商，四个独立的对话历史，四个关于我思考方式的档案。它们之间互不通气。切换供应商就得从头开始。"

翻译过来就是：

你在Claude里积累的上下文、偏好、决策记录，切到Cursor就没了。

你在ChatGPT里调教好的AI助手，换到Gemini又要重新调教。

你以为你在用AI，其实是AI在绑住你。

02 这不是功能问题，这是设计陷阱

更扎心的是另一个吐槽：

"我根据任务使用4-5个AI编码工具。让我持续沮丧的是：每个工具都把上下文存储在不同的地方、不同的格式。在项目中途从Claude Code切换到Cursor，你得从零开始。"

你发现了吗？

这不是功能问题，这是设计陷阱。

每个AI工具都在建立自己的"围墙花园"。

你的数据、你的偏好、你的记忆，全部被锁在里面。

想换工具？可以，但你要付出一个代价：

从头开始。

03 迁移税：换工具的隐形成本

我来算一笔账。

假设你在Claude里用了3个月，积累了：

项目架构决策：约50条
代码风格偏好：约20条
模块依赖关系：约30条
bug修复记录：约100条

现在你想试试Cursor。

你要做的不是"打开Cursor开始用"。

而是：

手动复制CLAUDE.md到.cursorrules
重新格式化，因为语法不同
重新解释项目背景
重新建立上下文

整个过程，至少2小时。

如果你同时用4-5个工具呢？

每个工具都要重复一遍。

这就是AI工具的"迁移税"。

04 供应商锁定是AI工具的盈利策略

那为什么会这样？

说白了，供应商锁定是AI工具的盈利策略。

Claude希望你只用Claude。

Cursor希望你只用Cursor。

ChatGPT希望你只用ChatGPT。

它们没有动力去打通彼此的记忆。

相反，它们有动力让你"离不开"。

你在Claude里积累越多，换到Cursor的成本就越高。

于是你被迫留在原地，哪怕另一个工具可能更适合你的需求。

05 ContextSync打破锁定

那这个问题有解吗？

有。

ContextSync的核心功能就是打破这个陷阱：

一个记忆，所有工具共享。

你在Claude里做的决策，自动同步到Cursor、Windsurf、Gemini CLI……

你换了一台新电脑，登录账号，记忆跟着走。

你从Claude切到Cursor，上下文无缝迁移。

不再有"从头开始"。

不再有"迁移税"。

06 限时内测，仅剩20个名额

它的核心能力很简单：你的AI记忆，跟着你走，不跟着工具走。

从Claude切到Cursor，上下文无缝迁移。

换一台新电脑，登录账号，记忆跟着走。

限时开放，目前仅剩20个名额。

内测福利：加入内测并提出你的使用问题，赠送一个月Pro版本（价值$9）。

如果你也厌倦了被单一工具"绑架"的感觉。

如果你也想拥有随时切换工具的自由，而不付出"迁移税"。

欢迎加微信（dao24dao），名额先到先得。

原文链接：https://mp.weixin.qq.com/s/72gDyBSFf87no0Dnhdwlew

海外 AI 大模型中转长期提供

支持：

GPT / Claude / Gemini 等主流模型的会员和 API 中转
稳定高速，适合开发、办公、内容创作等场景

有需要可加微信（dao24dao）咨询。

[!WARNING] 由于官方价格会不定期调整，具体价格以实时咨询为准。

常驻提醒，别错过

:::warning[/ 常驻提醒，别错过 /]

阳清的数字资产

阳清博客：http://blog.yangqing.one
卡路里拍照识别：https://calorieai.yangqing.one
n8n模板：https://getn8ntemplates.com
电影站：https://123freemovies.site/
SBTI人格测试：https://sbti.yangqing.one
ContextSync: https://contextsync.yangqing.one
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见面礼

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Miss 1% of Code, AI Fills the Blank with Hallucinations

Sun, 24 May 2026 00:00:00 GMT

A high-voted post on Hacker News reveals a brutal truth:

"Absolute context is non-negotiable. You must provide 99% of relevant code in context. If you miss even a tiny bit, the model doesn't know the boundaries, and it will fill the blank with hallucinations. This is a major source of errors."

Miss 1%, and AI starts hallucinating.

This is a core defect of AI coding tools.

01 Miss 1%, AI Starts Hallucinating

You may have encountered this situation:

You ask AI: "What does this code do?"

It confidently explains everything.

Then you realize, everything it said was wrong.

Why? Because it never saw the real code.

It only saw the part you pasted, and "guessed" the rest.

And guessing is the beginning of hallucination.

02 Context Retrieval is Mediocre at Best

Another developer put it more bluntly:

"Every AI coding tool has search problems. Claude uses grep. Cursor does basic vector search. Context retrieval? Honestly, very mediocre... AI tools lack true semantic code understanding."

Context retrieval is mediocre at best.

Think about it, how ironic this is.

The core capability of AI coding tools is "understanding code," but their context retrieval capability is "very mediocre."

The result:

You ask it a question about project architecture, and it gives you a wrong answer.

Not because it's not smart, but because it never saw the relevant code.

03 Frequent Hallucinations, Wrong Answers

Even more painful is another description:

"When using Cursor, asking general questions - like 'where does the code do X' or 'how should I implement Y' - it frequently hallucinates or gives me wrong answers."

Frequent hallucinations, wrong answers.

You think AI is helping you?

Actually, AI is "guessing."

And the cost of guessing wrong is the time you spend verifying, debugging, and correcting.

Time not saved, but more trouble added.

04 Two Memory Defects of AI Coding Agents

So why does this happen?

The core problem is: AI coding agents have two memory defects.

Defect 1: Long conversations get compressed.

In the same session, decisions made two hours ago are already forgotten by AI.

Context silently disappears, and you don't even notice.

Defect 2: Memory is locked to a single tool/device.

Switching from Claude Code to Cursor, or from work computer to home computer, everything resets to zero.

All the architecture, preferences, and decisions you explained before are lost.

05 ContextSync: Ensure Complete Context

Is there a solution to this problem?

Yes.

ContextSync's core function is to solve this problem:

Ensure AI always has complete context.

Your architecture decisions, code style, project preferences, automatically synced to all tools.

You switch a computer, memory follows.

You switch a tool, context seamlessly migrates.

AI no longer "guesses," but truly "knows."

No more hallucinations filling blanks, but working with correct information.

06 Limited Beta, Only 20 Spots Left

ContextSync is in beta, spots are limited, only 20 available.

Its core capability is simple: Ensure AI always has complete context, no more "guessing" answers.

Your architecture decisions, code style, project preferences, automatically synced to all tools.

AI sees the complete project picture, not fragments.

Limited time offer, currently only 20 spots left.

Beta benefit: Join the beta and raise your usage questions, get one month of Pro version (worth $9).

If you're also fed up with AI "confidently giving wrong answers."

If you also want AI to truly understand your project, not "pretend to understand."

Welcome to add WeChat (dao24dao), first come first served.

This article was first published on WeChat: View Original

Long-Term Overseas AI Large Model Proxy Services

Supports:

Memberships and API proxies for mainstream models like GPT / Claude / Gemini
Stable and high-speed, suitable for development, office work, content creation, and more

If you need this, add WeChat (dao24dao) for consultation.

[!WARNING] Since official prices may be adjusted periodically, please refer to real-time consultation for specific pricing.

Permanent Reminder, Don't Miss Out

:::warning[/ Permanent Reminder, Don't Miss Out /]

Yang Qing's Digital Assets

Yang Qing's Blog: http://blog.yangqing.one
Calorie Photo Recognition: https://calorieai.yangqing.one
n8n Templates: https://getn8ntemplates.com
Movie Site: https://123freemovies.site/
SBTI Personality Test: https://sbti.yangqing.one
ContextSync: https://contextsync.yangqing.one
Free Community: https://t.zsxq.com/QxWxg

Welcome Gifts

Add Yang Qing's personal WeChat (dao24dao) and note "Official Account" to receive the e-books: [Feiba Super Individual, Liang Kaopu's Path from 0 to 10 Million, findyi Super Individual 0 to 1 Million Monetization] - The Million-Dollar Side Hustle Secrets.
Get the latest digital edition of Solopreneur Compound Commercialization by replying 2512 to the "YangQing AI Solopreneur" WeChat official account (Free).
Here is a 3-day free trial card for the top-tier AI community "AI Breakthrough Club". Let's break through together in the AI era. :::

你漏掉1%的代码，AI就会用幻觉填补空白

Sun, 24 May 2026 00:00:00 GMT

Hacker News上有一个高赞帖子，揭露了一个残酷的真相：

"绝对上下文是不可妥协的。你必须提供99%的相关代码在上下文中。如果你漏掉哪怕一点点，模型就不知道边界，它会用幻觉填补空白。这是错误的主要来源。"

漏掉1%，AI就开始幻觉。

这就是AI编码工具的一个核心缺陷。

01 漏掉1%，AI就开始幻觉

你可能遇到过这种情况：

你问AI："这段代码是干嘛的？"

它自信满满地解释了一通。

然后你发现，它说的全是错的。

为什么？因为它根本没看到真正的代码。

它看到的只是你粘贴的一部分，剩下的它"猜"了出来。

而猜，就是幻觉的开始。

02 上下文检索，非常平庸

另一位开发者说得更直白：

"每个AI编码工具都有搜索问题。Claude用grep。Cursor做基础向量搜索。上下文检索？老实说，非常平庸……AI工具缺乏真正的语义代码理解。"

上下文检索，非常平庸。

你想想，这是多么讽刺的事情。

AI编码工具的核心能力是"理解代码"，但它的上下文检索能力却是"非常平庸"的。

结果就是：

你问它一个关于项目架构的问题，它给你的答案是错的。

不是因为它不聪明，是因为它根本没看到相关的代码。

03 经常幻觉，给错误答案

更扎心的是另一个描述：

"我在用Cursor的时候，问一些通用问题——比如'代码在哪里做X'或'我该怎么实现Y'——它经常幻觉，或者给我错误的答案。"

经常幻觉，给错误答案。

你以为AI在帮你？

其实AI在"猜"。

而猜错的代价，是你花时间去验证、去调试、去纠正。

时间没省下来，反而多了麻烦。

04 AI编码代理的两个记忆缺陷

那为什么会这样？

核心问题是：AI编码代理有两个记忆缺陷。

缺陷一：长对话被压缩。

在同一个会话里，两小时前做的决策，AI已经忘了。

上下文静默消失，你根本察觉不到。

缺陷二：记忆被锁定在单一工具/设备。

从Claude Code切到Cursor，或者从公司电脑切到家里电脑，一切归零。

你之前解释过的架构、偏好、决策，全部丢失。

05 ContextSync：确保完整上下文

那这个问题有解吗？

有。

ContextSync的核心功能就是解决这个问题：

确保AI始终拥有完整的上下文。

你的架构决策、代码风格、项目偏好，自动同步到所有工具。

你换一台电脑，记忆跟着走。

你换一个工具，上下文无缝迁移。

AI不再"猜"，而是真正"知道"。

不再有幻觉填补空白，而是用正确信息工作。

06 限时内测，仅剩20个名额

ContextSync正在内测，名额有限，仅开放20个。

它的核心能力很简单：确保AI始终拥有完整的上下文，不再"猜"答案。

你的架构决策、代码风格、项目偏好，自动同步到所有工具。

AI看到的不再是碎片，而是完整的项目图景。

限时开放，目前仅剩20个名额。

内测福利：加入内测并提出你的使用问题，赠送一个月Pro版本（价值$9）。

如果你也受够了AI"自信满满地给错误答案"。

如果你也想让AI真正理解你的项目，而不是"假装理解"。

欢迎加微信（dao24dao），名额先到先得。

本文首发于微信公众号：查看原文

海外 AI 大模型中转长期提供

支持：

GPT / Claude / Gemini 等主流模型的会员和 API 中转
稳定高速，适合开发、办公、内容创作等场景

有需要可加微信（dao24dao）咨询。

[!WARNING] 由于官方价格会不定期调整，具体价格以实时咨询为准。

常驻提醒，别错过

:::warning[/ 常驻提醒，别错过 /]

阳清的数字资产

阳清博客：http://blog.yangqing.one
卡路里拍照识别：https://calorieai.yangqing.one
n8n模板：https://getn8ntemplates.com
电影站：https://123freemovies.site/
SBTI人格测试：https://sbti.yangqing.one
ContextSync: https://contextsync.yangqing.one
免费星球：https://t.zsxq.com/QxWxg

见面礼

加阳清私人微信（dao24dao），备注"公众号"，领取：【飞巴超级个体，梁靠谱0-1000万之路，findyi超级个体0-100万变现】副业百万秘籍的电子书。
《一人企业复利商业化》最新电子版，在 "阳清AI一人企业" 公众号后台回复 2512 直接拿（免费）
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After 30 Minutes, 40% of Your AI Context Is Gone

Sat, 23 May 2026 00:00:00 GMT

I didn't make this up.

This is a fact revealed in a Hacker News discussion post with 570 upvotes and 107 comments.

01 After 30 Minutes, 40% of Context Is Gone

The core finding of the post:

"Every MCP tool call dumps raw data into Claude Code's 200K context window. A Playwright snapshot costs 56 KB, 20 GitHub issues cost 59 KB. After 30 minutes, 40% of your context is gone."

Translation:

Every MCP tool call dumps raw data into Claude Code's 200K context window.

A Playwright snapshot consumes 56KB.

20 GitHub issues consume 59KB.

After 30 minutes, 40% of your context is already gone.

You think your AI remembers your project?

It's just pretending to remember for a short time.

02 $2000+ Bill, No Code Quality Improvement

Here's something even more painful.

Someone posted on Hacker News:

"I let Claude Code context accumulate and burned $2,000+ in tokens — without noticing any quality drop. The only thing that went wrong was the bill."

He let Claude Code's context accumulate freely, and ended up burning over $2,000 in tokens.

Did code quality improve?

No.

The only thing that went wrong was—the bill.

This is the other side of the AI memory problem: It not only wastes your time, it's stealing your money.

03 Two Fatal Memory Problems

You'll find that AI coding tools have two fatal memory problems.

First, long conversations get compressed.

The architectural decision you made two hours ago? The AI has already forgotten it.

The longer the conversation, the more aggressive the compression.

Key information quietly disappears, and you don't even notice.

Second, memory is locked to a single tool.

The context you built up in Claude Code? Gone when you switch to Cursor.

The AI assistant you debugged on your work computer? You have to teach it again when you get home and open your personal laptop.

One developer put it more bluntly:

"Switch from Claude Code to Cursor, or from your laptop to your desktop, and everything is gone."

Switching from Claude Code to Cursor, from work computer to home computer—everything resets to zero.

04 Why Is AI Memory So Fragile?

So here's the question: why is AI tool memory so fragile?

I did some research and found several key reasons:

Reason 1: Context window is limited.

200K sounds like a lot, but MCP tool calls eat it up like crazy.

One Playwright snapshot is 56KB, a few calls and it's gone.

Reason 2: AI doesn't proactively compress.

It won't summarize "what are the core decisions in this conversation" for you.

It just stuffs all the raw data in until it overflows.

Reason 3: Tools don't talk to each other.

Claude's memory stays in Claude, Cursor's memory stays in Cursor.

They have no incentive to connect with each other.

So you're forced to jump between multiple silos, and every jump is an amnesia episode.

05 ContextSync: Smart Context Compression

Is there a solution to this?

Actually, yes.

ContextSync is designed to solve this problem.

The core idea is simple:

Unify scattered memory management, let AI truly "remember" what you said.

Architectural decisions you made in Claude Code automatically sync to Cursor, Windsurf, Gemini CLI...

Preferences you accumulated on your work computer follow you home when you open your laptop.

No more starting from zero every time.

AI can finally truly remember your project.

06 Limited Beta, Only 20 Spots Left

ContextSync is in beta with limited spots—only 20 available.

Its core capability is simple: Smart context compression, key information permanently preserved.

No more letting MCP tool calls fill up your context window.

Your architectural decisions and code style preferences automatically sync to all tools.

Limited time offer, only 20 spots left.

Beta perk: Join the beta and report your usage issues, get one month of Pro version free (worth $9).

If you don't want to watch your token bill keep climbing.

If you want AI to truly remember key information instead of being stuffed with useless raw data.

Add WeChat (dao24dao), first come first served.

This article was first published on WeChat: View Original

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30分钟后，你的AI上下文就没了40%

Sat, 23 May 2026 00:00:00 GMT

这不是我编的。

这是Hacker News上一个570赞、107条评论的讨论帖里揭露的事实。

01 30分钟后，40%上下文消失

帖子的核心发现是这样的：

"Every MCP tool call dumps raw data into Claude Code's 200K context window. A Playwright snapshot costs 56 KB, 20 GitHub issues cost 59 KB. After 30 minutes, 40% of your context is gone."

翻译过来：

每个MCP工具调用，都会把原始数据dump到Claude Code的200K上下文窗口里。

一个Playwright快照消耗56KB。

20个GitHub issues消耗59KB。

30分钟后，40%的上下文已经没了。

你以为你的AI记住了你的项目？

它只是在短时间内装作记住了。

02 $2000+账单，代码质量没提升

更扎心的是另一个数据。

有人在Hacker News上发帖说：

"I let Claude Code context accumulate and burned $2,000+ in tokens — without noticing any quality drop. The only thing that went wrong was the bill."

他让Claude Code的上下文自由累积，结果烧了2000多美元的token。

代码质量有没有提升？

没有。

唯一出问题的是——账单。

这就是AI记忆问题的另一面：它不仅浪费时间，还在偷你的钱。

03 两个致命的记忆问题

你会发现，AI编码工具存在两个致命的记忆问题。

第一，长对话会被压缩。

你在两个小时前做的架构决策，AI已经忘了。

对话越长，压缩越狠。

关键信息悄悄消失，你根本察觉不到。

第二，记忆被锁定在单一工具。

你在Claude Code里积累的上下文，切到Cursor就没了。

你在公司电脑上调试好的AI助手，回家打开自己的电脑，又要重新教一遍。

有个开发者说得更直白：

"Switch from Claude Code to Cursor, or from your laptop to your desktop, and everything is gone."

从Claude Code切到Cursor，从公司电脑切到家里电脑，一切归零。

04 为什么AI记忆如此脆弱

所以问题来了：为什么AI工具的记忆这么脆弱？

我研究了一下，发现几个关键原因：

原因一：context window是有限的。

200K听起来很大，但MCP工具调用会疯狂占用。

一个Playwright快照56KB，调用几次就没了。

原因二：AI不会主动压缩。

它不会帮你总结"这段对话的核心决策是什么"。

它只会把原始数据全部塞进去，直到溢出。

原因三：工具之间互不通。

Claude的记忆在Claude里，Cursor的记忆在Cursor里。

它们没有动力打通彼此。

于是你被迫在多个孤岛之间来回跳跃，每次跳跃都是一次失忆。

05 ContextSync：智能压缩上下文

那这个问题有解吗？

其实有的。

ContextSync就是来解决这个问题的。

核心思路很简单：

把分散的记忆统一管理，让AI真正"记住"你说过的话。

你在Claude Code里做的架构决策，自动同步到Cursor、Windsurf、Gemini CLI……

你在公司电脑上积累的偏好，回家打开笔记本，记忆跟着你走。

不需要每次都从零开始。

AI终于可以真正记住你的项目了。

06 限时内测，仅剩20个名额

ContextSync正在内测，名额有限，仅开放20个。

它的核心能力很简单：智能压缩上下文，关键信息永久保留。

不再让MCP工具调用占满你的context window。

你做的架构决策、代码风格偏好，自动同步到所有工具。

限时开放，目前仅剩20个名额。

内测福利：加入内测并提出你的使用问题，赠送一个月Pro版本（价值$9）。

如果你也不想看着token账单一路飙升。

如果你也想让AI真正记住关键信息，而不是被无用的原始数据塞满。

欢迎加微信（dao24dao），名额先到先得。

本文首发于微信公众号：查看原文

海外 AI 大模型中转长期提供

支持：

GPT / Claude / Gemini 等主流模型的会员和 API 中转
稳定高速，适合开发、办公、内容创作等场景

有需要可加微信（dao24dao）咨询。

[!WARNING] 由于官方价格会不定期调整，具体价格以实时咨询为准。

常驻提醒，别错过

:::warning[/ 常驻提醒，别错过 /]

阳清的数字资产

阳清博客：http://blog.yangqing.one
卡路里拍照识别：https://calorieai.yangqing.one
n8n模板：https://getn8ntemplates.com
电影站：https://123freemovies.site/
SBTI人格测试：https://sbti.yangqing.one
ContextSync: https://contextsync.yangqing.one
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见面礼

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The Moment You Close the Chat Window, AI Forgets You

Fri, 22 May 2026 00:00:00 GMT

Have you ever experienced this moment?

You debug a complex feature in an AI tool, everything goes smoothly.

The AI understands your architecture, remembers your boundary conditions, figures out your code style.

Then you get off work and close the window.

The next day you open it, everything resets to zero.

01 Session Boundaries, the Reset Point for AI Memory

A developer on Hacker News said something that resonated deeply with me:

"I keep running into the same friction point when coding with AI tools. They perform excellently within a single session, but when you open a new session, they forget everything about the project - past reasoning, boundary conditions, architecture notes."

Have you had similar experiences?

You spend 2 hours building context in Claude Code, and finally the AI understands your project.

Then you switch to Cursor, and everything starts over.

Or you debug a complex module today, open a new conversation tomorrow, and the AI's first question is:

"Please tell me what this project does?"

In that moment, how do you feel?

02 Re-summarizing Becomes the Real Bottleneck

Even more painful is another description:

"To think clearly, I have to repeatedly re-explain: what the code currently does, what changes were made recently, why certain decisions were made. This re-summarizing step has become a real bottleneck."

Re-summarizing becomes the real bottleneck.

Think about it, how ironic this is.

AI is supposed to save you time, but you end up spending more time "teaching AI" than writing code.

One developer put it even more bluntly:

"Session boundaries kill momentum. You complete 6 tasks, stop to rest, close the session. Come back the next day, AI has no memory. You spend 20 minutes re-explaining."

Complete 6 tasks, start from zero the next day.

This is the biggest fatal flaw of AI coding tools.

03 The Common Defect of Mainstream AI Tools

You'll find that almost all mainstream AI coding tools have this problem.

Cursor, Claude Code, Cline, Codex, Windsurf...

They have one thing in common:

"All mainstream AI coding tools share the same fatal flaw: the moment you switch conversations, context is lost."

Within a single session, they perform impressively.

Understanding your code style, remembering your architecture decisions, predicting your next needs.

But when the session boundary hits, everything resets to zero.

You think AI is helping you? No, AI is "amnesiac."

You think you're accumulating? No, you're running in place.

04 The Root Cause of AI Amnesia

So why does this happen?

I did some research and found several key reasons:

Reason 1: Sessions are isolated design units.

AI tools treat each conversation as an independent event, with no concept of "long-term memory."

Reason 2: Memory is locked by tools.

The context you build in Claude Code doesn't automatically sync to Cursor.

Each tool is building its own "walled garden."

Reason 3: Users are forced to become "repeaters."

Every new session, you have to repeat the same explanations.

Your role shifts from "developer" to "AI trainer."

05 ContextSync Breaks Session Boundaries

Is there a solution to this problem?

Yes.

ContextSync's core function is to solve this problem:

Break session boundaries, let AI truly remember you.

Your architecture decisions in Claude Code automatically sync to Cursor, Windsurf, Gemini CLI...

The context you build today is still there tomorrow.

You switch a tool, memory follows.

No more "re-explaining" bottleneck.

No more "starting from zero" pain.

06 Limited Beta, Only 20 Spots Left

ContextSync is in beta, spots are limited, only 20 available.

Its core capability is simple: break session boundaries, build context once, permanently effective.

Your architecture decisions made today are still there tomorrow.

You change a tool, memory follows.

Limited time offer, currently only 20 spots left.

Beta benefit: Join the beta and raise your usage questions, get one month of Pro version (worth $9).

If you also want to reclaim those 20 minutes of "repeating time."

If you also want AI to "recognize" your project in every new session.

Welcome to add WeChat (dao24dao), first come first served.

This article was first published on WeChat: View Original

Long-Term Overseas AI Large Model Proxy Services

Supports:

Memberships and API proxies for mainstream models like GPT / Claude / Gemini
Stable and high-speed, suitable for development, office work, content creation, and more

If you need this, add WeChat (dao24dao) for consultation.

[!WARNING] Since official prices may be adjusted periodically, please refer to real-time consultation for specific pricing.

Permanent Reminder, Don't Miss Out

:::warning[/ Permanent Reminder, Don't Miss Out /]

Yang Qing's Digital Assets

Yang Qing's Blog: http://blog.yangqing.one
Calorie Photo Recognition: https://calorieai.yangqing.one
n8n Templates: https://getn8ntemplates.com
Movie Site: https://123freemovies.site/
SBTI Personality Test: https://sbti.yangqing.one
ContextSync: https://contextsync.yangqing.one
Free Community: https://t.zsxq.com/QxWxg

Welcome Gifts

Add Yang Qing's personal WeChat (dao24dao) and note "Official Account" to receive the e-books: [Feiba Super Individual, Liang Kaopu's Path from 0 to 10 Million, findyi Super Individual 0 to 1 Million Monetization] - The Million-Dollar Side Hustle Secrets.
Get the latest digital edition of Solopreneur Compound Commercialization by replying 2512 to the "YangQing AI Solopreneur" WeChat official account (Free).
Here is a 3-day free trial card for the top-tier AI community "AI Breakthrough Club". Let's break through together in the AI era. :::

关掉对话窗口的那一刻，AI就把你忘了

Fri, 22 May 2026 00:00:00 GMT

你有没有经历过这种时刻？

你在AI工具里调试了一个复杂的功能，一切都很顺利。

AI理解了你的架构、记住了你的边界条件、搞懂了你的代码风格。

然后你下班了，关掉窗口。

第二天打开，一切归零。

01 会话边界，AI记忆的清零点

Hacker News上有位开发者说了一段话，让我感同身受：

"我在用AI工具编码时一直遇到同样的摩擦点。它们在单个会话内表现出色，但当你打开一个新会话，它们就忘了关于项目的一切——过去的推理、边界条件、架构笔记。"

你是不是也有过类似的经历？

你在Claude Code里花了2小时建立上下文，AI终于理解了你的项目。

然后你切换到Cursor，一切重新开始。

或者你今天调试了一个复杂模块，明天打开新对话，AI问的第一句话是：

"请告诉我这个项目是做什么的？"

那一刻，你是什么心情？

02 重新总结，成了真正的瓶颈

更扎心的是另一个描述：

"为了清晰思考，我不得不反复重新解释：代码目前做什么、最近做了什么改动、为什么做某些决策。这个重新总结的步骤，成了一个真正的瓶颈。"

重新总结，成了真正的瓶颈。

你想想，这是多么讽刺的事情。

AI本该帮你节省时间，结果你花在"教AI"上的时间，比写代码还多。

有一个开发者说得更直白：

"会话边界杀死动能。你完成了6个任务，停下来休息，关闭会话。第二天回来，AI没有记忆。你花20分钟重新解释。"

完成6个任务，第二天从零开始。

这就是AI编码工具的最大致命缺陷。

03 主流AI工具的共同缺陷

你会发现，几乎所有主流AI编码工具都有这个问题。

Cursor、Claude Code、Cline、Codex、Windsurf……

它们有一个共同点：

"所有主流AI编码工具都有同一个致命缺陷：对话一切换，上下文就丢失。"

在单个会话内，它们表现得惊艳。

理解你的代码风格、记住你的架构决策、预测你的下一步需求。

但会话边界一到，一切清零。

你以为AI在帮你？不，AI在"失忆"。

你以为你在积累？不，你在原地踏步。

04 AI失忆的根本原因

那为什么会这样？

我研究了一下，发现几个关键原因：

原因一：会话是孤立的设计单元。

AI工具把每个对话当成独立的事件，没有"长期记忆"的概念。

原因二：记忆被工具锁定。

你在Claude Code里建立的上下文，不会自动同步到Cursor。

每个工具都在建立自己的"围墙花园"。

原因三：用户被迫成为"复读机"。

每次新会话，你都要重复解释同样的事情。

你的角色从"开发者"变成了"AI教练"。

05 ContextSync打破会话边界

那这个问题有解吗？

有。

ContextSync的核心功能就是解决这个问题：

打破会话边界，让AI真正记住你。

你在Claude Code里做的架构决策，自动同步到Cursor、Windsurf、Gemini CLI……

你今天建立的上下文，明天还在。

你切换一个工具，记忆跟着走。

不再有"重新解释"的瓶颈。

不再有"从零开始"的痛苦。

06 限时内测，仅剩20个名额

ContextSync正在内测，名额有限，仅开放20个。

它的核心能力很简单：打破会话边界，一次建立上下文，永久生效。

你今天做的架构决策，明天还在。

你换一个工具，记忆跟着走。

限时开放，目前仅剩20个名额。

内测福利：加入内测并提出你的使用问题，赠送一个月Pro版本（价值$9）。

如果你也想把那 20 分钟的"复读时间"拿回来。

如果你也想让AI在每次新会话里都"认识"你的项目。

欢迎加微信（dao24dao），名额先到先得。

本文首发于微信公众号：查看原文

海外 AI 大模型中转长期提供

支持：

GPT / Claude / Gemini 等主流模型的会员和 API 中转
稳定高速，适合开发、办公、内容创作等场景

有需要可加微信（dao24dao）咨询。

[!WARNING] 由于官方价格会不定期调整，具体价格以实时咨询为准。

常驻提醒，别错过

:::warning[/ 常驻提醒，别错过 /]

阳清的数字资产

阳清博客：http://blog.yangqing.one
卡路里拍照识别：https://calorieai.yangqing.one
n8n模板：https://getn8ntemplates.com
电影站：https://123freemovies.site/
SBTI人格测试：https://sbti.yangqing.one
ContextSync: https://contextsync.yangqing.one
免费星球：https://t.zsxq.com/QxWxg

见面礼

加阳清私人微信（dao24dao），备注"公众号"，领取：【飞巴超级个体，梁靠谱0-1000万之路，findyi超级个体0-100万变现】副业百万秘籍的电子书。
《一人企业复利商业化》最新电子版，在 "阳清AI一人企业" 公众号后台回复 2512 直接拿（免费）
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AI is a Single Player - Team Collaboration Problem

Wed, 20 May 2026 00:00:00 GMT

You think your team is collaborating with AI.

Actually, you're all just playing single-player.

This isn't your fault. It's a design flaw in AI tools.

A developer on Hacker News said something that really hit home:

"Current AI coding assistants are 'single-player.' The moment I kill a terminal pane or close a chat session, the high-level reasoning and architectural decisions generated during that session are lost. If a teammate touches that same code an hour later, their agent has to re-derive everything from scratch."

AI coding assistants are single-player mode.

You close a terminal, and all the high-level reasoning and architectural decisions from that session are gone.

Your teammate touches that code an hour later, and their AI has to derive everything from scratch.

What Happens in Teams Pretending to Collaborate

Your team probably experiences this every day:

You spend an afternoon discussing architecture in Claude, forming clear decision records.

Your teammate is debugging code in Cursor, completely unaware of your discussion results.

You analyze technical trade-offs in ChatGPT and make a decision.

Your teammate asks the same question in Gemini and gets a different answer.

You think you're collaborating, but everyone is on their own island.

Even more painful is another complaint:

"Every morning we'd have to re-explain the same architectural decisions to our individual Copilot/LLM sessions."

Every morning, you have to re-explain the same architectural decisions.

Explain it to your AI.

Explain it to your teammate's AI.

The next day, do it again.

You think AI is boosting efficiency, but it's making you repeat work.

Why All AI Tools Are "Single-Player Mode"

Because every AI tool has its own interests.

Claude wants you to only use Claude.

Cursor wants you to only use Cursor.

ChatGPT wants you to only use ChatGPT.

They have no incentive to connect their memories.

Even less incentive to support team collaboration.

So you're forced to jump between isolated islands.

Every jump is a memory wipe.

You're forever teaching AI about your project, but never finishing.

After 30 Minutes, 40% of Memory is Gone

What's worse, even if you use it alone, memory still gets lost.

A discussion on Hacker News with 570 upvotes revealed a brutal fact:

MCP tool calls dump raw data into the context window.

One Playwright snapshot consumes 56KB.

20 GitHub issues consume 59KB.

After 30 minutes, 40% of context is gone.

You think your AI remembered your project?

It's just pretending for a short while.

ContextSync: From Single-Player to Multiplayer

I call this problem "AI collaboration memory fragmentation."

Every team member's AI is a fragment, information not flowing between them.

Want to integrate? Only verbal sync, document sync, meeting sync.

This shouldn't be how work happens in the AI era.

So I built ContextSync.

Its core function is simple: one memory, shared by the team.

Architectural decisions you make in Claude, your teammate's Cursor automatically knows.

Technical trade-offs you analyze in ChatGPT, your teammate's Gemini can see too.

From "single-player" to "multiplayer."

Your teammate's decisions, your AI automatically knows.

Final Thoughts

I've been doing AI-Native development for almost two years.

I discovered a pattern: the bigger the team, the worse the memory fragmentation problem.

One person using AI, the problem is bearable.

Two people using AI, repeated explanations begin.

Three or more, collaboration costs skyrocket.

Team collaboration shouldn't mean repeated amnesia.

If you're tired of explaining the same architectural decisions to AI every day, comment "1".

I'll send you the ContextSync beta link.

Limited spots—only 20 left.

Beta perk: Join the beta and share your feedback, get one month of Pro free ($9 value).

Let's actually connect your team's AI memory.

Add WeChat (*dao24dao) — spots are first come, first served.

This article was first published on WeChat: View Original

Long-Term Overseas AI Large Model Proxy Services

Supports:

Memberships and API proxies for mainstream models like GPT / Claude / Gemini
Stable and high-speed, suitable for development, office work, content creation, and more

If you need this, add WeChat (dao24dao) for consultation.

[!WARNING] Since official prices may be adjusted periodically, please refer to real-time consultation for specific pricing.

Permanent Reminder, Don't Miss Out

:::warning[/ Permanent Reminder, Don't Miss Out /]

Yang Qing's Digital Assets

Yang Qing's Blog: http://blog.yangqing.one
Calorie Photo Recognition: https://calorieai.yangqing.one
n8n Templates: https://getn8ntemplates.com
Movie Site: https://123freemovies.site/
SBTI Personality Test: https://sbti.yangqing.one
ContextSync: https://contextsync.yangqing.one
Free Community: https://t.zsxq.com/QxWxg

Welcome Gifts

Add Yang Qing's personal WeChat (dao24dao) and note "Official Account" to receive the e-books: [Feiba Super Individual, Liang Kaopu's Path from 0 to 10 Million, findyi Super Individual 0 to 1 Million Monetization] - The Million-Dollar Side Hustle Secrets.
Get the latest digital edition of Solopreneur Compound Commercialization by replying 2512 to the "YangQing AI Solopreneur" WeChat official account (Free).
Here is a 3-day free trial card for the top-tier AI community "AI Breakthrough Club". Let's break through together in the AI era. :::

AI是单人玩家，你的团队在假装协作

Wed, 20 May 2026 00:00:00 GMT

你以为团队都在用AI协作。

其实你们只是在各自单机。

这不是你的问题，是AI工具的设计缺陷。

Hacker News上有位开发者说了一段话，让我深有同感：

"Current AI coding assistants are 'single-player.' The moment I kill a terminal pane or close a chat session, the high-level reasoning and architectural decisions generated during that session are lost. If a teammate touches that same code an hour later, their agent has to re-derive everything from scratch."

AI编程助手，是单人玩家模式。

你关闭一个终端，那场对话里产生的高级推理和架构决策，全部丢失。

你的队友一小时后碰那段代码，他的AI要从头推导一切。

假装协作的团队，每天都在发生什么

你的团队可能每天都在发生这样的事：

你在Claude里讨论了一下午的架构方案，形成了清晰的决策记录。

你的队友在Cursor里调试代码，完全不知道你的讨论结果。

你在ChatGPT里分析了技术选型的利弊，做出了权衡。

你的队友在Gemini里问同样的问题，得到不同的答案。

你们以为在协作，其实每个人都在孤岛上。

更扎心的是另一条吐槽：

"Every morning we'd have to re-explain the same architectural decisions to our individual Copilot/LLM sessions."

每天早上，你们都要重新解释一遍同样的架构决策。

给自己的AI解释一遍。

给队友的AI解释一遍。

第二天，再来一遍。

你以为AI在提效，它却在让你们重复劳动。

为什么AI工具都是"单人模式"

因为每个AI工具都有自己的利益考量。

Claude希望你只用Claude。

Cursor希望你只用Cursor。

ChatGPT希望你只用ChatGPT。

它们没有动力去打通彼此的记忆。

更没有动力去支持团队协作。

于是你被迫在多个孤岛之间来回跳跃。

每次跳跃，都是一次失忆。

你永远在教AI认识你的项目，却永远教不完。

30分钟后，40%的记忆消失了

更可怕的是，就算你一个人用，记忆也会丢失。

Hacker News上有一个570点赞的讨论，揭示了一个残酷的事实：

MCP工具调用会把原始数据dump到context window。

一个Playwright快照消耗56KB。

20个GitHub issues消耗59KB。

30分钟后，40%的context已经没了。

你以为你的AI记住了你的项目？

它只是在短时间内装作记住了。

ContextSync：从单机到多人联机

我把这个问题叫做"AI协作的记忆碎片化"。

每个团队成员的AI都是碎片，信息互不通畅。

想整合？只能口头同步、文档同步、会议同步。

这不该是AI时代的工作方式。

所以我做了ContextSync。

它的核心功能很简单：一个记忆，团队共享。

你在Claude里做的架构决策，队友的Cursor自动知道。

你在ChatGPT里分析的技术选型，队友的Gemini也能看到。

从"single-player"变成"multi-player"。

队友的决策，你的AI自动知道。

写在最后

我做了快两年的AI-Native开发。

我发现一个规律：团队越大，AI记忆碎片化的问题越严重。

一个人用AI，问题还能忍受。

两个人用AI，重复解释就开始了。

三个人以上，协作成本直线上升。

团队协作不该意味着重复失忆。

如果你也受够了每天给AI解释同样的架构决策，欢迎在评论区扣"1"。

我会把ContextSync的内测链接发给你。

限时开放，目前仅剩20个名额。

内测福利：加入内测并提出你的使用问题，赠送一个月Pro版本（价值$9）。

让我们一起，把团队的AI记忆，真正连接起来。

欢迎加微信（dao24dao），名额先到先得。

本文首发于微信公众号：查看原文

海外 AI 大模型中转长期提供

支持：

GPT / Claude / Gemini 等主流模型的会员和 API 中转
稳定高速，适合开发、办公、内容创作等场景

有需要可加微信（dao24dao）咨询。

[!WARNING] 由于官方价格会不定期调整，具体价格以实时咨询为准。

常驻提醒，别错过

:::warning[/ 常驻提醒，别错过 /]

阳清的数字资产

阳清博客：http://blog.yangqing.one
卡路里拍照识别：https://calorieai.yangqing.one
n8n模板：https://getn8ntemplates.com
电影站：https://123freemovies.site/
SBTI人格测试：https://sbti.yangqing.one
ContextSync: https://contextsync.yangqing.one
免费星球：https://t.zsxq.com/QxWxg

见面礼

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Your AI Has No Memory

Tue, 19 May 2026 00:00:00 GMT

Every new conversation, what's the first thing you do?

Re-explain.

"We're using TypeScript, not JavaScript."

"This project doesn't use React, it uses Vue."

"Last time we decided on Prisma, not raw SQL."

Then the next conversation, you repeat it all.

Keep explaining.

I noticed something strange: AI is clearly smart enough to write code, analyze data, and help you make decisions. But it just can't remember what you said last time.

It's not that it can't remember - it's that it "doesn't remember" at all.

Imagine going to work every day and seeing the same colleague, but every time they act like they're meeting you for the first time: "Hello, who are you?"

You'd go crazy.

60 Hours a Year, Just Gone

I saw a post on Twitter the other day. A developer was complaining:

"I told Claude to use TypeScript, but when I switched to Cursor, it kept giving me JavaScript. The two tools acted like they had amnesia."

Under that tweet? Over 200 replies.

Every single one saying the same thing: Me too.

Someone did the math: re-explaining your tech stack every day, averaging 10 minutes. That's 5 hours a month. 60 hours a year.

60 hours. Enough to learn a new programming language.

But what did you spend it on?

Repeating the same words over and over.

Why Can't AI Remember? The Truth Hurts

It's not an AI problem. It's a tool problem.

Every AI tool you use right now is an "island."

Claude has Claude's memory. Cursor has Cursor's memory. Windsurf has Windsurf's memory. They don't know each other. They don't talk.

What you say in Claude, Cursor doesn't know.

The standards you set in Cursor, Windsurf doesn't know.

It's like having three assistants who never communicate. Every time you assign something, you can only tell one assistant. Switch assistants? Start over.

This isn't an efficiency problem. It's a system problem.

A friend of mine who's an indie developer has it worse.

He uses 5 AI tools simultaneously: Claude Code, Cursor, Windsurf, Gemini CLI, Copilot.

And his project has 6 rule files:

CLAUDE.md
.cursorrules
.windsurfrules
GEMINI.md
AGENTS.md
copilot-instructions.md

Every time he updates one standard, he has to change 6 files.

One time he missed one, and Copilot generated code that completely violated the project standards. He spent an entire afternoon debugging.

He told me: "I'm not writing code. I'm maintaining an Excel spreadsheet of rule files."

Here's what happens: you use more and more AI tools, but your burden keeps getting heavier.

AI was supposed to save you time. Instead, you spend more time managing AI than writing code.

What's AI's Mission?

So here's the question.

What's AI's mission?

To save you time, not waste it.

To help you finish work faster, not make you repeat the same thing.

But if AI can't even remember your basic preferences, how can it help you?

How can you trust it?

It's like hiring an assistant who needs you to re-explain your preferences every single time. Would you keep them?

I've been thinking about something lately:

What if AI could remember you?

Not just in one tool, but across all tools.

You say "we use TypeScript" in Claude, and Cursor automatically knows.

You say "we use Prisma" in Cursor, and Windsurf automatically knows.

Say it once, all tools remember.

What would that feel like?

Writing this, I want to ask you something:

Have you experienced this "AI amnesia"?

Not because the tool is bad, but because tools don't have "shared memory."

If you relate, let me know in the comments.

Tomorrow I'll share an even more ridiculous real case.

Actually, I've turned this "what if" into reality.

I built a tool called ContextSync.

The principle is simple: one CLAUDE.md file, automatically synced to all your AI tools.

You say "use TypeScript" in Claude, and Cursor, Windsurf, Copilot all sync automatically.

Change once, everything updates.

No more maintaining 6 files. No more re-explaining every time you switch tools.

Give it a try if you're interested. It's free.

Limited spots—only 20 left.

Beta perk: Join the beta and share your feedback, get one month of Pro free ($9 value).

Let's actually connect your AI memory.

Add WeChat (dao24dao) — spots are first come, first served.

This article was first published on WeChat: View Original

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Supports:

Memberships and API proxies for mainstream models like GPT / Claude / Gemini
Stable and high-speed, suitable for development, office work, content creation, and more

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Yang Qing's Digital Assets

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Calorie Photo Recognition: https://calorieai.yangqing.one
n8n Templates: https://getn8ntemplates.com
Movie Site: https://123freemovies.site/
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Welcome Gifts

Add Yang Qing's personal WeChat (dao24dao) and note "Official Account" to receive the e-books: [Feiba Super Individual, Liang Kaopu's Path from 0 to 10 Million, findyi Super Individual 0 to 1 Million Monetization] - The Million-Dollar Side Hustle Secrets.
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你的AI没有记忆

Tue, 19 May 2026 00:00:00 GMT

每次新对话，第一件事是什么？

重新解释。

"我们用的是TypeScript，不是JavaScript。"

"这个项目不用React，用的是Vue。"

"上次我们决定用Prisma，不是原生SQL。"

然后下一场对话，继续重复。

继续解释。

我就发现一个很奇怪的事：AI明明那么聪明，能写代码、能分析数据、能帮你做决策，但它就是记不住你上次说过的话。

不是记不住，是根本"不记得"。

就像你每天上班，遇到同一个同事，但他每次都像第一次见到你一样："你好，请问你是谁？"

你会疯的。

一年60小时，就这样没了

我前两天在Twitter上看到一个帖子，一个开发者吐槽说：

"我告诉Claude用TypeScript，切换到Cursor后，它一直给我JavaScript。两个工具像失忆了一样。"

这条推文下面，200多条回复。

清一色都在说同一件事：我也遇到过。

有人算了笔账：每天重新解释技术栈，平均花10分钟。一个月下来，就是5个小时。一年就是60个小时。

60个小时，够你学会一门新语言了。

但你花在了什么上面？

花在了重复说同样的话上面。

为什么AI记不住？真相扎心了

其实不是AI的问题，是工具的问题。

你现在用的每一个AI工具，都是一个"孤岛"。

Claude有Claude的记忆，Cursor有Cursor的记忆，Windsurf有Windsurf的记忆。它们彼此不认识，也不交流。

你在Claude里说的话，Cursor不知道。

你在Cursor里定的规范，Windsurf不知道。

就像你有三个助理，但他们从来不沟通。每次你交代一件事，只能对一个助理说。换一个助理，重新说一遍。

这不是效率问题，这是系统问题。

我有一个做独立开发的朋友，他更夸张。

他同时用5个AI工具：Claude Code、Cursor、Windsurf、Gemini CLI、Copilot。

然后他的项目里有6个规则文件：

CLAUDE.md
.cursorrules
.windsurfrules
GEMINI.md
AGENTS.md
copilot-instructions.md

每次更新一个规范，他要改6个文件。

有一次他改漏了一个，结果Copilot给他生成了完全不符合项目规范的代码，他debug了整整一个下午。

他跟我吐槽说："我不是在写代码，我是在维护规则文件的Excel表格。"

你会发现，AI越用越多，但你的负担反而越来越重。

本来AI是来帮你省时间的，结果你花在管理AI上的时间，比写代码还多。

AI的使命是什么？

所以问题来了。

AI的使命是什么？

是帮你省时间，不是帮你浪费时间。

是让你更快地完成工作，不是让你重复做同一件事。

但如果AI连你的基本偏好都记不住，它怎么帮你？

你怎么信任它？

这就像你招了一个助理，但他每次都要你重新告诉他你的喜好。你会继续用他吗？

我最近在想一个问题：

如果AI能记住你呢？

不是在一个工具里记住，而是在所有工具里记住。

你在Claude里说"我们用TypeScript"，Cursor自动就知道了。

你在Cursor里说"我们用Prisma"，Windsurf自动就知道了。

一个地方说，所有工具都记得。

那会是什么体验？

写到这里，我想问你一个问题：

你遇到过这种"AI失忆"的场景吗？

不是工具不好用，而是工具之间没有"共同记忆"。

如果你也有同感，评论区告诉我。

明天我讲一个更离谱的真实案例。

其实，我已经把这个"如果"变成了现实。

我做了一个工具叫 ContextSync，中文名叫"上下文同步器"。

它的原理很简单：一个 CLAUDE.md 文件，自动同步到所有AI工具。

你在Claude里说"用TypeScript"，Cursor、Windsurf、Copilot自动同步。

改一次，全部生效。

不用维护6个文件，不用每次切换工具重新解释。

有兴趣的可以试试，免费的。

限时开放，目前仅剩20个名额。

内测福利：加入内测并提出你的使用问题，赠送一个月Pro版本（价值$9）。

让我们一起，把团队的AI记忆，真正连接起来。

欢迎加微信（dao24dao），名额先到先得。

本文首发于微信公众号：查看原文

海外 AI 大模型中转长期提供

支持：

GPT / Claude / Gemini 等主流模型的会员和 API 中转
稳定高速，适合开发、办公、内容创作等场景

有需要可加微信（dao24dao）咨询。

[!WARNING] 由于官方价格会不定期调整，具体价格以实时咨询为准。

常驻提醒，别错过

:::warning[/ 常驻提醒，别错过 /]

阳清的数字资产

阳清博客：http://blog.yangqing.one
卡路里拍照识别：https://calorieai.yangqing.one
n8n模板：https://getn8ntemplates.com
电影站：https://123freemovies.site/
SBTI人格测试：https://sbti.yangqing.one
ContextSync: https://contextsync.yangqing.one
免费星球：https://t.zsxq.com/QxWxg

见面礼

加阳清私人微信（dao24dao），备注"公众号"，领取：【飞巴超级个体，梁靠谱0-1000万之路，findyi超级个体0-100万变现】副业百万秘籍的电子书。
《一人企业复利商业化》最新电子版，在 "阳清AI一人企业" 公众号后台回复 2512 直接拿（免费）
送你一张AI头部社群 "AI 破局俱乐部" 的 三天免费体验卡，AI时代一起破局。 :::

Claude Uses TypeScript, Cursor Gives JavaScript

Tue, 19 May 2026 00:00:00 GMT

Yesterday's post blew up. Someone DM'd me with an even crazier story.

After I wrote that "AI amnesia" article, the comments section went wild.

Someone said: "You're so right, I explain the same things every day."

Another said: "I thought I was the only one. Turns out we're all suffering."

Then a DM came in that made my jaw drop.

He said:

"I told Claude to use TypeScript. Switched to Cursor, and it kept giving me JavaScript. Two tools acting like they have amnesia."

This isn't a joke. This actually happened.

The Problem: Claude Remembers, Cursor Doesn't

I asked him: What was the scenario?

He said:

"I was working on a Next.js project. In Claude Code, I explicitly said 'this project uses TypeScript, don't give me JavaScript.' Claude remembered. All the code after that was TS."

"Then I wanted to try another feature in Cursor. Opened the same project, asked it a question."

"And the code it generated was all JavaScript."

"I was confused. Claude knew what I said. Cursor had no clue."

"It's like I told my wife I don't eat cilantro. Then at a restaurant, the waiter asks her if she wants cilantro, she says no. But then the waiter turns to me, and I have to say it again."

"The problem is, I can't say it in every single tool."

This scenario is way too real.

I've had similar experiences.

I told Claude Code "we use Prisma, not raw SQL." Then switched to Windsurf, and it generated a bunch of raw SQL queries.

I spent an entire afternoon fixing that code.

Later I realized, the problem isn't that AI isn't smart enough.

It's that every AI tool is an "island."

The Root Cause: Rule File Fragmentation

Do you know how many AI coding tools are out there?

Claude Code, Cursor, Windsurf, Gemini CLI, GitHub Copilot, Codex CLI, Cline, Roo Code, Aider, Continue, Zed...

Each tool has its own "rule file":

Claude Code uses CLAUDE.md
Cursor uses .cursorrules
Windsurf uses .windsurfrules
Gemini CLI uses GEMINI.md
Copilot uses .github/copilot-instructions.md

How many projects do you have?

How many rule files per project?

How many files do you need to sync every time you change a rule?

Let's Do the Math: Exponential Maintenance Cost

I did the math.

Let's say you have 3 projects, using 4 AI tools.

Each project needs 4 rule files.

3 × 4 = 12 files.

Every time you change a rule, you update 12 places.

Miss one? Good luck debugging.

I asked a few indie dev friends. Their situations are even crazier.

One of them uses 5 tools across 6 projects.

That's 30 rule files.

He said: "I'm not writing code. I'm maintaining an Excel spreadsheet of rule files."

The Solution: ContextSync

So I started thinking about a question.

Can I just write one?

One rule file that all tools can read.

Say "use TypeScript" anywhere, and all tools know.

No need to re-explain every time you switch.

No need to maintain 6, 12, or 30 files.

Say it once, all tools remember.

I spent a week building a tool.

It's called ContextSync.

It solves exactly this problem.

The principle is simple:

You write one rule file (~/.contextsync/rules.md), and it automatically syncs to all AI tools' rule files.

CLAUDE.md, .cursorrules, .windsurfrules, GEMINI.md...

Change one place, update everywhere.

Besides rule syncing, it has another feature.

Memory sharing.

What you say in Claude Code, Cursor can know too.

For example, you say "we use Prisma." That gets recorded.

Next time you ask Cursor a question, it automatically uses that as context.

No need to explain again.

User Feedback

A friend used it for two weeks and told me:

"Now I switch tools without any anxiety. Before, switching tools felt like getting a new assistant. Now it's like the same assistant changed clothes."

"Inside, it's still the same assistant."

Final Thoughts

If your workflow involves multiple AI tools.

If you're tired of re-explaining every time you switch.

Give it a try.

The free version supports Claude Code + Cursor. That's enough for most people.

Pro version supports 12+ tools, plus cloud sync.

Limited spots—only 20 left.

Beta perk: Join the beta and share your feedback, get one month of Pro free ($9 value).

Let's actually connect your team's AI memory.

Add WeChat (*dao24dao) — spots are first come, first served.

This article was first published on WeChat: View Original

Long-Term Overseas AI Large Model Proxy Services

Supports:

Memberships and API proxies for mainstream models like GPT / Claude / Gemini
Stable and high-speed, suitable for development, office work, content creation, and more

If you need this, add WeChat (dao24dao) for consultation.

[!WARNING] Since official prices may be adjusted periodically, please refer to real-time consultation for specific pricing.

Permanent Reminder, Don't Miss Out

:::warning[/ Permanent Reminder, Don't Miss Out /]

Yang Qing's Digital Assets

Yang Qing's Blog: http://blog.yangqing.one
Calorie Photo Recognition: https://calorieai.yangqing.one
n8n Templates: https://getn8ntemplates.com
Movie Site: https://123freemovies.site/
SBTI Personality Test: https://sbti.yangqing.one
ContextSync: https://contextsync.yangqing.one
Free Community: https://t.zsxq.com/QxWxg

Welcome Gifts

Add Yang Qing's personal WeChat (dao24dao) and note "Official Account" to receive the e-books: [Feiba Super Individual, Liang Kaopu's Path from 0 to 10 Million, findyi Super Individual 0 to 1 Million Monetization] - The Million-Dollar Side Hustle Secrets.
Get the latest digital edition of Solopreneur Compound Commercialization by replying 2512 to the "YangQing AI Solopreneur" WeChat official account (Free).
Here is a 3-day free trial card for the top-tier AI community "AI Breakthrough Club". Let's break through together in the AI era. :::

我告诉Claude用TypeScript，Cursor却一直给我JavaScript

Tue, 19 May 2026 00:00:00 GMT

昨天那条火了。有人私信我说了个更离谱的事。

昨天写完那篇"AI失忆"的文章，评论区反响很大。

有人说："你说得太对了，我每天都在重复解释。"

还有人说："我以为只有我一个人这样，原来大家都一样。"

然后有个私信，让我直接坐不住了。

他说：

"我告诉Claude用TypeScript，切换到Cursor后，它一直给我JavaScript。两个工具像失忆了一样。"

这不是段子，这是真实发生的事。

问题场景：Claude记得，Cursor不记得

我问他：你当时是什么场景？

他说：

"我当时在做一个Next.js项目。在Claude Code里，我明确说过'这个项目用TypeScript，不要给我JavaScript'。Claude记住了，后面所有的代码都是TS。"

"然后我想用Cursor试一下另一个功能。打开同一个项目，问了它一个问题。"

"结果它给我生成的代码全是JavaScript。"

"我当时就懵了。我说过的话，Claude知道，Cursor完全不知道。"

"就像我跟我老婆说过我不吃香菜，然后换个场合，服务员问我老婆要不要香菜，她说不要。但服务员转头问我，我又得再说一遍。"

"问题是，我不能每个工具都说一遍啊。"

这个场景太真实了。

我以前也遇到过类似的事。

我在Claude Code里说过"我们用Prisma，不用原生SQL"，然后切换到Windsurf，它给我生成了一堆原生SQL查询。

我花了一个下午去修复那些代码。

后来我发现，问题不是AI不够聪明。

是每个AI工具都是"孤岛"。

根源：规则文件的碎片化困局

你们知道现在主流的AI编码工具有多少吗？

Claude Code、Cursor、Windsurf、Gemini CLI、GitHub Copilot、Codex CLI、Cline、Roo Code、Aider、Continue、Zed……

每个工具都有自己的"规则文件"：

Claude Code 用 CLAUDE.md
Cursor 用 .cursorrules
Windsurf 用 .windsurfrules
Gemini CLI 用 GEMINI.md
Copilot 用 .github/copilot-instructions.md

你有几个项目？

每个项目要维护几份规则文件？

每次改一个规范，要同步几个文件？

算一笔账：维护成本的指数级增长

我算了一笔账。

假设你有3个项目，同时用4个AI工具。

每个项目需要4份规则文件。

3 × 4 = 12份文件。

每次改一个规范，你要改12个地方。

漏改一个，就等着debug吧。

我问了几个做独立开发的朋友，他们的情况更夸张。

最多的一个，同时用5个工具，6个项目。

30份规则文件。

他说："我不是在写代码，我是在维护规则文件的Excel表格。"

解决方案：ContextSync

所以我在想一个问题。

能不能只写一份？

一份规则文件，所有工具都能读到。

你在任何地方说"用TypeScript"，所有工具都知道。

不用每次切换都重新解释。

不用维护6份、12份、30份文件。

一个地方说，所有工具都记得。

我花了一周时间，做了一个工具。

叫 ContextSync。

就是解决这个问题。

它的原理很简单：

你写一份规则文件（~/.contextsync/rules.md），它会自动同步到所有AI工具的规则文件里。

CLAUDE.md、.cursorrules、.windsurfrules、GEMINI.md……

你改一个地方，所有地方都更新。

除了规则同步，它还有一个功能。

记忆共享。

你在Claude Code里说过的话，Cursor也能知道。

比如你说"我们用Prisma"，这句话会被记录下来。

下次你在Cursor里问问题，它会自动把这句话作为上下文。

不用你再解释一遍。

用户反馈

我朋友用了两周，跟我说：

"我现在切换工具完全不慌了。以前换工具像换新助理，现在就像同一个助理换了身衣服。"

"里面还是那个助理。"

写在最后

如果你的工作流里也有多个AI工具。

如果你也厌倦了每次切换都重新解释。

可以试试。

免费版支持Claude Code + Cursor，够大多数人用了。

Pro版支持12+工具，还有云同步。

限时开放，目前仅剩20个名额。

内测福利：加入内测并提出你的使用问题，赠送一个月Pro版本（价值$9）。

让我们一起，把团队的AI记忆，真正连接起来。

欢迎加微信（dao24dao），名额先到先得。

本文首发于微信公众号：查看原文

海外 AI 大模型中转长期提供

支持：

GPT / Claude / Gemini 等主流模型的会员和 API 中转
稳定高速，适合开发、办公、内容创作等场景

有需要可加微信（dao24dao）咨询。

[!WARNING] 由于官方价格会不定期调整，具体价格以实时咨询为准。

常驻提醒，别错过

:::warning[/ 常驻提醒，别错过 /]

阳清的数字资产

阳清博客：http://blog.yangqing.one
卡路里拍照识别：https://calorieai.yangqing.one
n8n模板：https://getn8ntemplates.com
电影站：https://123freemovies.site/
SBTI人格测试：https://sbti.yangqing.one
ContextSync: https://contextsync.yangqing.one
免费星球：https://t.zsxq.com/QxWxg

见面礼

加阳清私人微信（dao24dao），备注"公众号"，领取：【飞巴超级个体，梁靠谱0-1000万之路，findyi超级个体0-100万变现】副业百万秘籍的电子书。
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One Config, All AI Tools Remember You

Mon, 18 May 2026 00:00:00 GMT

I spent a whole week getting Claude Code to understand my project architecture.

Then in Cursor, I had to do it all over again.

01

I'm not the only one with this problem.

On Hacker News, a developer's rant got hundreds of upvotes:

"I use Claude for some tasks, Cursor for coding, and ChatGPT for research. The problem is, none of them know what I discussed with the other tools. I find myself constantly re-explaining the same context."

Another developer put it more bluntly:

"Four vendors, four separate conversation histories. They don't talk to each other. Switching vendors means starting from scratch."

Have you ever done the math?

10 minutes of re-explaining every day, that's 5 hours a month, 60 hours a year.

That time could be spent writing code, building products, or being with family.

02

I found the root cause.

First, fragmented rule files.

CLAUDE.md, .cursorrules, GEMINI.md, .windsurfrules...

For the same project, you have to maintain 5-6 rule files.

Update one, forget to sync the others, and the AI starts "hallucinating."

Second, memory locked to tools.

The context you build in Claude Code? Gone when you switch to Cursor.

Your preferences on your work computer? Gone when you open your laptop at home.

Third, session boundaries kill everything.

Every new conversation, the AI starts from zero.

All those architectural decisions, code styles, module relationships you explained? All reset.

03

So I built a tool called ContextSync.

It solves one core problem:

One config, all AI coding tools remember you.

The principle is simple:

You maintain one unified rule file at ~/.contextsync/rules.md.

ContextSync automatically compiles and syncs it to:

CLAUDE.md
.cursorrules
GEMINI.md
.windsurfrules
AGENTS.md
.github/copilot-instructions.md

You change once, everything updates.

04

After using it for a month, here are the key benefits I've found:

Benefit 1: Save time.

No more re-explaining project background in every tool.

What Claude Code knows, Cursor knows too.

Benefit 2: Lower switching costs.

Switch from Cursor to Windsurf, context migrates seamlessly.

No more giving up on tool switching because of "re-explaining."

Benefit 3: Smoother team collaboration.

The team shares the same project memory.

New person joins? One-click sync, no hand-holding needed.

05

ContextSync currently supports these tools:

Tool	Rule File	MCP Support
Claude Code	CLAUDE.md	✅ Native
Cursor	.cursorrules	✅ Supported
Gemini CLI	GEMINI.md	✅ Supported
Windsurf	.windsurfrules	✅ Supported
Codex CLI	AGENTS.md	✅ Compatible
GitHub Copilot	copilot-instructions.md	⚠️ Rules sync only

Limited spots—only 20 left.

Beta perk: Join the beta and share your feedback, get one month of Pro free ($9 value).

Let's actually connect your team's AI memory.

If you want all AI tools to "know" you.

If you want to reclaim those 60 hours of repeated explanations.

Add WeChat (dao24dao) — spots are first come, first served.

This article was first published on WeChat: View Original

Long-Term Overseas AI Large Model Proxy Services

Supports:

Memberships and API proxies for mainstream models like GPT / Claude / Gemini
Stable and high-speed, suitable for development, office work, content creation, and more

If you need this, add WeChat (dao24dao) for consultation.

[!WARNING] Since official prices may be adjusted periodically, please refer to real-time consultation for specific pricing.

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:::warning[/ Permanent Reminder, Don't Miss Out /]

Yang Qing's Digital Assets

Yang Qing's Blog: http://blog.yangqing.one
Calorie Photo Recognition: https://calorieai.yangqing.one
n8n Templates: https://getn8ntemplates.com
Movie Site: https://123freemovies.site/
SBTI Personality Test: https://sbti.yangqing.one
ContextSync: https://contextsync.yangqing.one
Free Community: https://t.zsxq.com/QxWxg

Welcome Gifts

Add Yang Qing's personal WeChat (dao24dao) and note "Official Account" to receive the e-books: [Feiba Super Individual, Liang Kaopu's Path from 0 to 10 Million, findyi Super Individual 0 to 1 Million Monetization] - The Million-Dollar Side Hustle Secrets.
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一次配置，所有AI工具都记得你

Mon, 18 May 2026 00:00:00 GMT

我花了整整一周，才让Claude Code理解我的项目架构。

然后在Cursor里，我又重复了一遍。

01

这不是我一个人的问题。

Hacker News上，有个开发者的吐槽被顶了几百赞：

"我使用Claude做某些任务、Cursor写代码、ChatGPT做研究。问题是，它们都不知道我和其他工具讨论了什么。我发现自己不断重复解释相同的上下文。"

另一个开发者说得更直白：

"四个供应商，四个独立的对话历史。它们之间互不通气。切换供应商就得从头开始。"

你有没有算过一笔账？

每天重新解释10分钟，一个月5小时，一年就是60个小时。

这些时间，本可以用来写代码、做产品、陪家人。

02

问题的根源，我找到了。

第一，规则文件碎片化。

CLAUDE.md、.cursorrules、GEMINI.md、.windsurfrules……

同一个项目，你要维护5-6个规则文件。

改了一个，忘了同步其他的，AI就开始"幻觉"。

第二，记忆被工具锁定。

你在Claude Code里积累的上下文，切到Cursor就没了。

你在公司电脑上的偏好，回家打开笔记本又没了。

第三，会话边界杀死一切。

每次开新对话，AI就从零开始。

你之前解释过的架构决策、代码风格、模块关系，全部归零。

03

所以我做了一个工具，叫ContextSync。

解决的核心问题就一个：

一次配置，所有AI编码工具都记得你。

原理很简单：

你维护一份统一的规则文件 ~/.contextsync/rules.md。

ContextSync自动编译并同步到：

CLAUDE.md
.cursorrules
GEMINI.md
.windsurfrules
AGENTS.md
.github/copilot-instructions.md

你改一次，全部更新。

04

用了一个月，我总结了几个关键收益：

收益一：省时间。

不用在每个工具里重复解释项目背景了。

Claude Code知道的，Cursor也知道。

收益二：降低切换成本。

从Cursor切到Windsurf，上下文无缝迁移。

再也不会因为"重新解释"而放弃切换工具。

收益三：团队协作更顺畅。

团队共享同一份项目记忆。

新人来了，一键同步，不需要手把手教。

05

ContextSync目前支持的工具：

工具	规则文件	MCP支持
Claude Code	CLAUDE.md	✅ 原生
Cursor	.cursorrules	✅ 支持
Gemini CLI	GEMINI.md	✅ 支持
Windsurf	.windsurfrules	✅ 支持
Codex CLI	AGENTS.md	✅ 兼容
GitHub Copilot	copilot-instructions.md	⚠️ 仅规则同步

限时开放，目前仅剩20个名额。

内测福利：加入内测并提出你的使用问题，赠送一个月Pro版本（价值$9）。

让我们一起，把团队的AI记忆，真正连接起来。

如果你也想让所有AI工具都"认识"你。

如果你也想把那60小时的重复解释时间拿回来。

欢迎加微信（dao24dao），名额先到先得。

本文首发于微信公众号：查看原文

海外 AI 大模型中转长期提供

支持：

GPT / Claude / Gemini 等主流模型的会员和 API 中转
稳定高速，适合开发、办公、内容创作等场景

有需要可加微信（dao24dao）咨询。

[!WARNING] 由于官方价格会不定期调整，具体价格以实时咨询为准。

常驻提醒，别错过

:::warning[/ 常驻提醒，别错过 /]

阳清的数字资产

阳清博客：http://blog.yangqing.one
卡路里拍照识别：https://calorieai.yangqing.one
n8n模板：https://getn8ntemplates.com
电影站：https://123freemovies.site/
SBTI人格测试：https://sbti.yangqing.one
ContextSync: https://contextsync.yangqing.one
免费星球：https://t.zsxq.com/QxWxg

见面礼

加阳清私人微信（dao24dao），备注"公众号"，领取：【飞巴超级个体，梁靠谱0-1000万之路，findyi超级个体0-100万变现】副业百万秘籍的电子书。
《一人企业复利商业化》最新电子版，在 "阳清AI一人企业" 公众号后台回复 2512 直接拿（免费）
送你一张AI头部社群 "AI 破局俱乐部" 的 三天免费体验卡，AI时代一起破局。 :::

AI is a Single Player - The Team Collaboration Illusion

Sun, 17 May 2026 00:00:00 GMT

You think your team is collaborating with AI.

But really, you're all just playing solo.

This isn't your fault—it's a design flaw in AI tools.

A developer on Hacker News said something that really hit home for me:

"Current AI coding assistants are 'single-player.' The moment I kill a terminal pane or close a chat session, the high-level reasoning and architectural decisions generated during that session are lost. If a teammate touches that same code an hour later, their agent has to re-derive everything from scratch."

AI coding assistants are single-player mode.

Close a terminal, and all the high-level reasoning and architectural decisions from that session? Gone.

Your teammate touches that code an hour later, and their AI has to figure everything out from scratch.

What "Pretending to Collaborate" Looks Like

This is probably happening in your team every day:

You spent the whole afternoon in Claude discussing architecture, forming clear decision records.

Your teammate is debugging in Cursor, completely unaware of your discussion.

You analyzed trade-offs in ChatGPT and made a decision.

Your teammate asks the same question in Gemini and gets a different answer.

You think you're collaborating, but everyone's on their own island.

Here's another comment that stings:

"Every morning we'd have to re-explain the same architectural decisions to our individual Copilot/LLM sessions."

Every morning, you have to re-explain the same architectural decisions.

Explain it to your own AI.

Explain it to your teammate's AI.

Next day, do it all again.

You think AI is making you more efficient, but it's actually making you repeat work.

Why Are AI Tools All "Single-Player"?

Because every AI tool has its own interests.

Claude wants you to only use Claude.

Cursor wants you to only use Cursor.

ChatGPT wants you to only use ChatGPT.

They have no incentive to connect their memories.

Even less incentive to support team collaboration.

So you're forced to jump between silos.

Every jump is a memory wipe.

You're forever teaching AI about your project, but never finishing.

After 30 Minutes, 40% of Memory is Gone

Here's the scary part—even if you're working alone, memory still gets lost.

There's a Hacker News thread with 570 upvotes that reveals a harsh reality:

MCP tool calls dump raw data into the context window.

One Playwright snapshot eats 56KB.

20 GitHub issues consume 59KB.

After 30 minutes, 40% of your context is gone.

You think your AI remembers your project?

It's just pretending to remember for a short while.

ContextSync: From Single-Player to Multiplayer

I call this problem "AI Collaboration Memory Fragmentation."

Every team member's AI is a silo. Information doesn't flow.

Want to sync up? You have to do it verbally, through docs, in meetings.

This shouldn't be how we work in the AI era.

So I built ContextSync.

The core idea is simple: one memory, shared by the team.

Architecture decisions you make in Claude? Your teammate's Cursor knows automatically.

Technical analysis you do in ChatGPT? Your teammate's Gemini can see it too.

From "single-player" to "multiplayer."

Your teammate's decisions? Your AI knows automatically.

Final Thoughts

I've been doing AI-Native development for almost two years.

I've noticed a pattern: the bigger the team, the worse the memory fragmentation.

One person using AI? Tolerable.

Two people? The repeating explanations begin.

Three or more? Collaboration costs skyrocket.

Team collaboration shouldn't mean repeated memory loss.

If you're also tired of explaining the same architectural decisions to AI every day, drop a "1" in the comments.

I'll send you the ContextSync beta link.

Limited spots—only 20 left.

Beta perk: Join the beta and share your feedback, get one month of Pro free ($9 value).

Let's actually connect your team's AI memory.

This article was first published on WeChat: View Original

Long-Term Overseas AI Large Model Proxy Services

Supports:

Memberships and API proxies for mainstream models like GPT / Claude / Gemini
Stable and high-speed, suitable for development, office work, content creation, and more

If you need this, add WeChat (dao24dao) for consultation.

[!WARNING] Since official prices may be adjusted periodically, please refer to real-time consultation for specific pricing.

Permanent Reminder, Don't Miss Out

:::warning[/ Permanent Reminder, Don't Miss Out /]

Yang Qing's Digital Assets

Yang Qing's Blog: http://blog.yangqing.one
Calorie Photo Recognition: https://calorieai.yangqing.one
n8n Templates: https://getn8ntemplates.com
Movie Site: https://123freemovies.site/
SBTI Personality Test: https://sbti.yangqing.one
ContextSync: https://contextsync.yangqing.one
Free Community: https://t.zsxq.com/QxWxg

Welcome Gifts

Add Yang Qing's personal WeChat (dao24dao) and note "Official Account" to receive the e-books: [Feiba Super Individual, Liang Kaopu's Path from 0 to 10 Million, findyi Super Individual 0 to 1 Million Monetization] - The Million-Dollar Side Hustle Secrets.
Get the latest digital edition of Solopreneur Compound Commercialization by replying 2512 to the "YangQing AI Solopreneur" WeChat official account (Free).
Here is a 3-day free trial card for the top-tier AI community "AI Breakthrough Club". Let's break through together in the AI era. :::

AI是单人玩家，你的团队在假装协作

Sun, 17 May 2026 00:00:00 GMT

你以为团队都在用AI协作。

其实你们只是在各自单机。

这不是你的问题，是AI工具的设计缺陷。

Hacker News上有位开发者说了一段话，让我深有同感：

"Current AI coding assistants are 'single-player.' The moment I kill a terminal pane or close a chat session, the high-level reasoning and architectural decisions generated during that session are lost. If a teammate touches that same code an hour later, their agent has to re-derive everything from scratch."

AI编程助手，是单人玩家模式。

你关闭一个终端，那场对话里产生的高级推理和架构决策，全部丢失。

你的队友一小时后碰那段代码，他的AI要从头推导一切。

假装协作的团队，每天都在发生什么

你的团队可能每天都在发生这样的事：

你在Claude里讨论了一下午的架构方案，形成了清晰的决策记录。

你的队友在Cursor里调试代码，完全不知道你的讨论结果。

你在ChatGPT里分析了技术选型的利弊，做出了权衡。

你的队友在Gemini里问同样的问题，得到不同的答案。

你们以为在协作，其实每个人都在孤岛上。

更扎心的是另一条吐槽：

"Every morning we'd have to re-explain the same architectural decisions to our individual Copilot/LLM sessions."

每天早上，你们都要重新解释一遍同样的架构决策。

给自己的AI解释一遍。

给队友的AI解释一遍。

第二天，再来一遍。

你以为AI在提效，它却在让你们重复劳动。

为什么AI工具都是"单人模式"

因为每个AI工具都有自己的利益考量。

Claude希望你只用Claude。

Cursor希望你只用Cursor。

ChatGPT希望你只用ChatGPT。

它们没有动力去打通彼此的记忆。

更没有动力去支持团队协作。

于是你被迫在多个孤岛之间来回跳跃。

每次跳跃，都是一次失忆。

你永远在教AI认识你的项目，却永远教不完。

30分钟后，40%的记忆消失了

更可怕的是，就算你一个人用，记忆也会丢失。

Hacker News上有一个570点赞的讨论，揭示了一个残酷的事实：

MCP工具调用会把原始数据dump到context window。

一个Playwright快照消耗56KB。

20个GitHub issues消耗59KB。

30分钟后，40%的context已经没了。

你以为你的AI记住了你的项目？

它只是在短时间内装作记住了。

ContextSync：从单机到多人联机

我把这个问题叫做"AI协作的记忆碎片化"。

每个团队成员的AI都是碎片，信息互不通畅。

想整合？只能口头同步、文档同步、会议同步。

这不该是AI时代的工作方式。

所以我做了ContextSync。

它的核心功能很简单：一个记忆，团队共享。

你在Claude里做的架构决策，队友的Cursor自动知道。

你在ChatGPT里分析的技术选型，队友的Gemini也能看到。

从"single-player"变成"multi-player"。

队友的决策，你的AI自动知道。

写在最后

我做了快两年的AI-Native开发。

我发现一个规律：团队越大，AI记忆碎片化的问题越严重。

一个人用AI，问题还能忍受。

两个人用AI，重复解释就开始了。

三个人以上，协作成本直线上升。

团队协作不该意味着重复失忆。

如果你也受够了每天给AI解释同样的架构决策，欢迎在评论区扣"1"。

我会把ContextSync的内测链接发给你。

限时开放，目前仅剩20个名额。

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让我们一起，把团队的AI记忆，真正连接起来。

本文首发于微信公众号：查看原文

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阳清的数字资产

阳清博客：http://blog.yangqing.one
卡路里拍照识别：https://calorieai.yangqing.one
n8n模板：https://getn8ntemplates.com
电影站：https://123freemovies.site/
SBTI人格测试：https://sbti.yangqing.one
ContextSync: https://contextsync.yangqing.one
免费星球：https://t.zsxq.com/QxWxg

见面礼

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Building a Self-Evolving Agent with Openclaw

Mon, 09 Mar 2026 00:00:00 GMT

When Claude starts helping you write Prompts, Skills, and Agent configurations... where does this road end?

The starting point of the matter: a problem that gave me a headache

Recently, while playing with OpenClaw, every time I wanted to create a new Agent, I had to manually create a bunch of files: SOUL.md, IDENTITY.md, AGENTS.md, MEMORY.md...

None of them can be omitted, each has its own specific format requirements, and after writing them, I still have to run a bunch of CLI commands to register, bind channels, and install skills.

The whole process is tedious and error-prone.

One day, it suddenly occurred to me: Can I let AI help me with this?

Not just asking it to help write a single file, but rather — me saying "help me create an Agent" and it getting everything done.

Thus, there is the story to be told in this article.

What is a Skill?

In OpenClaw, a Skill is an "operation manual" for AI.

You put it into the system, and when a user triggers the corresponding keywords, the AI will read this manual and execute step by step according to the instructions inside.

Essentially, a Skill is an automated process written in natural language.

What we need to do is write a Skill called create-agent, so that after reading it, the AI knows how to create a complete Agent from scratch.

Design Idea: Clarify the Process First

Before starting, I went through the entire process with Claude.

Creating a complete Agent requires at least the following steps:

Collect information — Know what kind of Agent to build
Check for conflicts — Confirm that the ID is not occupied
Confirm channel parameters — Authentication parameters vary completely across different platforms (Feishu/Telegram/Discord)
Generate Workspace files — 6-8 Markdown configuration files
Execute CLI registration — openclaw agents add, set-identity, bind
Install evolution Skill — Enable the Agent to have self-learning capabilities
Output user to-do items — Tell humans what else needs to be done

Each step is indispensable, and the order cannot be messed up.

The Most Interesting Part: Self-Evolution

This is the part I am most satisfied with in the entire design.

The created Agent is not a static robot, but one that continues to evolve with use.

How is this specifically achieved? Through two Skills that work together:

self-improving-agent acts as an observer. After each conversation ends, it records what happened in memory/YYYY-MM-DD.md in a structured format — what was done, whether it was successful or failed, what mistakes were made, and what was learned.

capability-evolver acts as the execution engine. It regularly scans the memory/ directory and .learnings/ logs, extracts signals from them, and generates evolution plans.

A one-sentence summary of their division of labor:

self-improving-agent is the diary, and capability-evolver is the engineer who reads the diary and then starts to transform itself.

Key detail: memory/YYYY-MM-DD.md is the connection point between the two. If the Agent does not write to this file in the specified format, capability-evolver cannot read the signals, and evolution will not be triggered. Therefore, we have fixed the format requirements in the AGENTS.md template.

In addition, all changes involving core configurations (`SOUL.md`, `AGENTS.md`) must be approved by the user before execution and will not be modified automatically randomly.

A Pitfall Encountered: Channel Parameters

When initially designing the "binding channel" step, I simply had users fill in something like telegram:ops and considered it done.

Claude directly pointed out the problem: The authentication parameters for different channels are completely different.

Telegram only requires a Bot Token
Feishu requires App ID + App Secret + Verification Token + Encrypt Key
WhatsApp doesn't need a Token but requires scanning a QR code
Slack requires two Tokens (Bot Token + App Token)

Hardcoding a single field makes it impossible to handle such differences.

The solution was to create a new references/channel-params.md file, which includes parameter templates for 11 mainstream channels. When the Skill is executed, it identifies the type of channel filled in by the user, dynamically reads the corresponding parameter template, and then generates a questionnaire for the user to fill out.

For adding new channels later, you just need to add an entry to this file, and the main process remains completely unchanged.

There's another detail: if the channel filled in by the user is the same as the channel where the current conversation is taking place, additional confirmation is required — whether to bind the current robot application or switch to a new one? If this isn't clarified, it's easy to mess up the configuration.

Final File Structure

create-agent/
├── SKILL.md                        ← Main process (5 phases + 2 intermediate checks)
├── scripts/
│   └── generate-workspace.sh       ← Automatically generates all workspace files
└── references/
    ├── workspace-templates.md      ← Complete templates for 6-8 configuration files
    └── channel-params.md           ← Authentication parameter mapping table for 11 channels

The execution flow of the entire Skill is:

Phase 1   One-time questionnaire (required + optional)
Phase 1.5 ID conflict check (execute openclaw agents list)
Phase 1.8 Channel parameter confirmation (identify channel type → dynamic questionnaire)
Phase 2   Generate Workspace files (call generate-workspace.sh)
Phase 3   Execute CLI registration (add → set-identity → bind)
Phase 4   Install evolutionary Skills (self-improving-agent + capability-evolver)
Phase 5   Output user operation list

Usage Effect

Say the trigger phrase "Help me create an Agent", and the AI will:

Display a questionnaire where you only need to fill in the Agent ID, name, and personality theme; the rest have default values.
Automatically check for ID conflicts.
Display the corresponding parameter questionnaire based on the channel type you filled in.
Call the script to generate all workspace files.
Run all CLI commands in sequence to complete the registration.
Install the Evolution Skill.
Finally, provide you with a checklist telling you what else needs to be done (such as git init, scanning the QR code, etc.).

There are only two places where manual intervention is required in the entire process: filling out the questionnaire and confirming channel parameters; all other steps are fully automated.

A Further Extension

After finishing create-agent, I took the initiative to develop create-agent-network.

It addresses a more complex problem: When you need not just a single Agent, but a collaborative network consisting of a main Agent + multiple sub-Agents + several Skills, how to automate the setup?

The process becomes:

Analyze the workflow in the user's description (number of nodes, what each node does)
Determine whether each node is suitable for an Agent or a Skill
First, search ClaWHub to see if there are existing Skills available
Create each node in sequence (call create-agent or skill-creator)
Automatically register the routing relationships between the main and sub-Agents
Output the topology map of the entire network and the user's to-do list

All parameters of the sub-Agents (ID, name, personality, routing conditions) are automatically generated based on workflow analysis, without requiring the user to fill them in one by one.

Final Thoughts

What struck me most during this process was not "how much time AI saved me", but:

When you start using AI to build AI infrastructure, the entire way of working changes.

Previously, I needed to understand the format of each configuration file, the parameters of each CLI command, the authentication method for each channel... Now, this knowledge is沉淀 into Skills, transformed into reusable process assets.

The next person who wants to create an Agent can directly use this Skill without needing to know anything else.

This is probably what is meant by "automation of knowledge".

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搭建了一个Openclaw的Skill，实现"从零搭建会自我进化的Agent"

Mon, 09 Mar 2026 00:00:00 GMT

当 Claude 开始帮你写 Prompt、写 Skill、写 Agent 配置……这条路的终点在哪里？

事情的起点：一个让我头疼的问题

最近在玩 OpenClaw，每次想新建一个 Agent，都得手动创建一堆文件：SOUL.md、IDENTITY.md、AGENTS.md、MEMORY.md……

每一个都不能少，每一个格式都有讲究，写完还要跑一堆 CLI 命令注册、绑频道、装 skill。

整个过程枯燥又容易出错。

某天我突然想：我能不能让 AI 帮我做这件事？

不是让它帮我写某一个文件，而是——我说一句"帮我创建一个 Agent"，它把所有事情都搞定。

于是就有了这篇文章要讲的故事。

什么是 Skill？

在 OpenClaw 里，Skill 是一段给 AI 看的"操作手册"。

你把它放进系统，当用户触发了对应的关键词，AI 就会读这份手册，按里面的步骤一步步去执行。

本质上，Skill 就是用自然语言写的自动化流程。

我们要做的，就是写一个叫 create-agent 的 Skill，让 AI 读完它之后，知道怎么从零创建一个完整的 Agent。

设计思路：先想清楚流程

动手之前，我跟 Claude 把整个流程捋了一遍。

一个完整的 Agent 创建，至少需要：

收集信息 — 知道要建什么样的 Agent
检查冲突 — 确认 ID 没被占用
确认频道参数 — 不同平台（飞书/Telegram/Discord）的鉴权参数完全不同
生成 Workspace 文件 — 6-8 个 Markdown 配置文件
执行 CLI 注册 — openclaw agents add、set-identity、bind
安装进化 Skill — 让 Agent 具备自我学习能力
输出用户待办 — 告诉人类还需要做什么

每一步都不能少，顺序也不能乱。

最有意思的部分：自我进化

这是整个设计里我最满意的一个环节。

创建出来的 Agent 不是一个静态的机器人，而是会随着使用不断进化的。

具体怎么实现的？靠两个配合工作的 Skill：

self-improving-agent 充当观察者。每次对话结束，它把发生的事情记录到 memory/YYYY-MM-DD.md，格式是结构化的——做了什么、成功了还是失败了、犯了什么错、学到了什么。

capability-evolver 充当执行引擎。它定期扫描 memory/ 目录和 .learnings/ 日志，从中提取信号，生成进化方案。

两者的分工一句话概括：

self-improving-agent 是日记本，capability-evolver 是读完日记后动手改造自己的工程师。

关键细节：memory/YYYY-MM-DD.md 是两者的衔接点。如果 Agent 没有按规定格式写入这个文件，capability-evolver 就读不到信号，进化就不会触发。所以我们在 AGENTS.md 模板里写死了格式要求。

另外，所有涉及核心配置（SOUL.md、AGENTS.md）的变更，必须经过用户批准才能执行，不会自动乱改。

踩过的一个坑：频道参数

最开始设计「绑定频道」这一步时，我简单地让用户填一个 telegram:ops 就完事了。

Claude 直接指出了问题：不同频道的鉴权参数完全不同。

Telegram 只需要一个 Bot Token
飞书需要 App ID + App Secret + Verification Token + Encrypt Key
WhatsApp 不需要 Token，但需要扫 QR 码
Slack 需要两个 Token（Bot Token + App Token）

写死一个字段根本没法处理这种差异。

解决方案是新建一个 references/channel-params.md，把 11 个主流频道的参数模板都写进去。Skill 在执行时识别用户填写的频道类型，动态读取对应的参数模板，再生成问卷让用户填写。

后续新增频道，只需要往这个文件里加一条，主流程完全不用动。

还有一个细节：如果用户填写的频道和当前对话所在频道一致，需要额外确认——是绑定当前这个机器人应用，还是换一个新的？这步如果不问清楚，很容易把配置搞乱。

最终的文件结构

create-agent/
├── SKILL.md                        ← 主流程（5个阶段 + 2个中间检查）
├── scripts/
│   └── generate-workspace.sh       ← 自动生成所有 workspace 文件
└── references/
    ├── workspace-templates.md      ← 6-8 个配置文件的完整模板
    └── channel-params.md           ← 11 个频道的鉴权参数映射表

整个 Skill 的执行流程是：

Phase 1   一次性问卷（必填 + 选填）
Phase 1.5 ID 冲突检查（执行 openclaw agents list）
Phase 1.8 频道参数确认（识别频道类型 → 动态问卷）
Phase 2   生成 Workspace 文件（调用 generate-workspace.sh）
Phase 3   执行 CLI 注册（add → set-identity → bind）
Phase 4   安装进化 Skills（self-improving-agent + capability-evolver）
Phase 5   输出用户操作清单

使用效果

触发词说一句"帮我创建一个 Agent"，AI 会：

展示一张问卷，你只需填写 Agent ID、名称、性格主题，其余都有默认值
自动检查 ID 是否冲突
根据你填写的频道类型，展示对应的参数问卷
调用脚本生成所有 workspace 文件
依次跑完所有 CLI 命令完成注册
安装进化 Skill
最后给你一份清单，告诉你还需要做哪几件事（比如 git init、扫 QR 码等）

整个过程人工介入的地方只有两处：填问卷和确认频道参数，其余全部自动完成。

一个更大的延伸

做完 create-agent 之后，我顺手又做了一个 create-agent-network。

它解决的是更复杂的问题：当你需要的不是一个 Agent，而是一套主 Agent + 多个子 Agent + 若干 Skill 组成的协作网络时，怎么自动化搭建？

流程变成了：

分析用户描述中的工作流（几个节点、每个节点做什么）
判断每个节点适合用 Agent 还是 Skill
先去 ClaWHub 搜索有没有现成的 Skill 可以用
依次创建每个节点（调用 create-agent 或 skill-creator）
自动注册主子 Agent 之间的路由关系
输出整个网络的拓扑图和用户待办

子 Agent 的所有参数（ID、名称、性格、路由条件）全部根据工作流分析自动生成，不需要用户逐一填写。

最后想说的

这个过程里让我感受最深的，不是"AI 帮我省了多少时间"，而是：

当你开始用 AI 来构建 AI 的基础设施，整个工作方式就变了。

以前我需要理解每个配置文件的格式、每条 CLI 命令的参数、每个频道的鉴权方式……现在这些知识被沉淀到 Skill 里，变成了可复用的流程资产。

下一个人想创建 Agent，直接用这个 Skill，什么都不需要知道。

这大概就是所谓的"知识的自动化"吧。

已上架Clawhub

链接是：https://clawhub.ai/dao24dao/create-agent-arch 欢迎使用并反馈.

海外 AI 大模型中转长期提供

支持：

GPT / Claude / Gemini 等主流模型的会员和 API 中转
稳定高速，适合开发、办公、内容创作等场景

有需要可加微信（dao24dao）咨询。

[!WARNING] 由于官方价格会不定期调整，具体价格以实时咨询为准。这上面这段翻译成英文版

常驻提醒，别错过

:::warning[/ 常驻提醒，别错过 /]

阳清的数字资产

阳清博客：http://blog.yangqing.one
卡路里拍照识别：https://calorieai.yangqing.one
n8n模板：https://getn8ntemplates.com
电影站：https://123freemovies.site/
SBTI人格测试：https://sbti.yangqing.one
ContextSync: https://contextsync.yangqing.one
免费星球：https://t.zsxq.com/QxWxg

见面礼

加阳清私人微信（dao24dao），备注"公众号"，领取：【飞巴超级个体，梁靠谱0-1000万之路，findyi超级个体0-100万变现】副业百万秘籍的电子书。
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12 Paid Xiaobot Columns - Lifetime Access Guide

Sat, 07 Mar 2026 00:00:00 GMT

We-Media Side Hustle Column

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DeepSeek Programming Column

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This column is written by the Qiaoyuexing (Yidaoqiao, Shuiyue, Xingzhi) team, unlocking a new era of AI programming: mastering Cursor to easily achieve zero-code monetization!

This booklet includes Cursor installation tutorials, introductory use of Cursor, and case studies of developing software with Cursor from scratch. More Cursor monetization cases will be updated later.

How to use Xiaobot?

01. Step 1

Or directly search for "Xiaobot Delivery" in the WeChat search bar and follow it directly.

02. Step 2

If prompted to "log in", simply use "WeChat login".

After logging in, you can see the list of your subscriptions!

Note: The WeChat here must be the one you scanned the QR code to purchase with; otherwise, you won't be able to see the subscription list!

03. Step 3

Click on the course you want to view in the list to enter it.

After entering, remember to check the "pinned" information first.

04. Finally

When you "exit" reading, how to enter next time?

In your "chat list", find "Xiaobaotong Delivery" and you can enter directly.

The process is the same as above!

Long-Term Overseas AI Large Model Proxy Services

Supports:

Memberships and API proxies for mainstream models like GPT / Claude / Gemini
Stable and high-speed, suitable for development, office work, content creation, and more

If you need this, add WeChat (dao24dao) for consultation.

[!WARNING] Since official prices may be adjusted periodically, please refer to real-time consultation for specific pricing.

Permanent Reminder, Don't Miss Out

:::warning[/ Permanent Reminder, Don't Miss Out /]

Yang Qing's Digital Assets

Yang Qing's Blog: http://blog.yangqing.one
Calorie Photo Recognition: https://calorieai.yangqing.one
n8n Templates: https://getn8ntemplates.com
Movie Site: https://123freemovies.site/
SBTI Personality Test: https://sbti.yangqing.one
ContextSync: https://contextsync.yangqing.one
Free Community: https://t.zsxq.com/QxWxg

Welcome Gifts

Add Yang Qing's personal WeChat (dao24dao) and note "Official Account" to receive the e-books: [Feiba Super Individual, Liang Kaopu's Path from 0 to 10 Million, findyi Super Individual 0 to 1 Million Monetization] - The Million-Dollar Side Hustle Secrets.
Get the latest digital edition of Solopreneur Compound Commercialization by replying 2512 to the "YangQing AI Solopreneur" WeChat official account (Free).
Here is a 3-day free trial card for the top-tier AI community "AI Breakthrough Club". Let's break through together in the AI era. :::

一次付费，永久有效！12 个小报童付费专栏，强烈推荐！（附使用说明）

Sat, 07 Mar 2026 00:00:00 GMT

自媒体副业专栏

01 小红书可复制案例库

别人笔记几千几万赞，商业化收入不断，你的笔记没人看！

手工精选了220 个小红书可复制案例（案例随时可看，不失效，全网独一份）

原价 199，限时 99.88 元买断（一次订阅，永久查阅）

快速刷一遍 220 个案例，找到你能模仿的，对标、死磕执行、快速出结果。

玩流量，玩IP，首选小红书。低门槛，低成本，反馈快。

02 视频号可复制案例库

2024 看好视频号，顺趋势，出结果，赚到钱。

模仿那些正在悄悄赚钱和赚流量的案例，普通人可「低门槛切入」，赚点小钱

手工精选 100 个全行业「可复制案例」，全网独一份。

且告诉你：为什么可复制，适合你否，可优化点。

完整内容，见「置顶站」大纲

*限时最低价 69.41 （一次订阅，永久查阅），满3000 人，涨价至 79.89

03 公众号入门-自媒体写作赚钱

04 一人企业•私域复利小技巧

这个专栏，输出 1DO老徐玩私域复利必备的小技巧（时间复利，重复N 次商业化），一个人就是一家公司。

轻创业者，副业玩家，必备微信私域小技巧。

每篇帕子很短，1分钟看两篇。且值得反复看 100遍，去执行。

原价 699，限时最低价 56.99，全部都是实战经验，看到就是赚了。满1500 人涨价至 77.99

05 一人企业•IP从O到赚钱50问

此专栏的「IP50问」，内容精选自老徐中客单 2999 的个人IP实验室，已经有几千位 IP 受益。

看完去理解「什么是IP，IP定位，IP价值输出，IP商业化，IP复利」。

*内容由老徐独家发布，在其他地方不可能看到。内测最低价 36.66，满1200 人涨价至 56.79，逐步涨价至 199（原价 2999)

很多同学缺1P 常识，每天在那瞎搞，盲目努力，看

专栏，普及常识，路径正确，再努力。

记住：每个人都是 1P，或大或小。

06 IDO老徐 •一人企业1000条短思

专栏长期更新，一次订阅永久有效。

来N年，至少更新1000 条「一人企业实战短思考」（5 本书的内容量）。

围绕10老徐「一人企业复利商业化」年利润百万的最新落地实践，精选有价值的思考。内容包括「成长，赚钱，写作，避坑，复利，1」等领域。

07 闲鱼无货源赚钱手把手

核心事件：2023年11月，1688和闲鱼升级为淘天集团的一级业务，截止目前闲鱼用户规模突破5亿，是趋势。

电子资料、互联网产品与运营技能培训等分类已跑通引流，专栏提供手把手教程和避坑建议。

08 一人企业•播客入门/商业化/案例库

基于国内的「小宇宙播客」平台。把老徐了解的所有播客相关内容更新到这。包括：播客引流逻辑，内容逻辑，商业逻辑，生态布局逻辑。

播客适合哪些玩家，怎么引流私域，如何商业化，主流内容形式，新内容形式探索等。

09 200条赚钱案例信息源

基于海量赚钱信息源，叠加 DO老徐副业利润每年百万以上的「赚钱敏感度和实践经验」，由 1DO老徐手工精选，收录 200 条赚钱信息源（当下可落地执行，能赚「小钱」的信息源）

核心是：时间差，信息差，执行力。

赚小钱，这三点就够了。

不限平台，不限副业基础（。基础也可）。每条案例都是一条信息源，去执行，出结果，放大商业化。

10 微信问一问•流量赚钱专栏

看专栏解百惑，赚到钱。

问一问免费涨粉利器独家更新100 篇「问一问」经验贴。带你入门，解惑，提效，涨粉，赚小钱

DeepSeek编程专栏

01 AI 入门到变现 (DeepSeek)

作者大全：万人Al破局教练，211大学法学毕业，跨行自学编程，北漂10年，前BAT大厂架构师，月入10万+Al自媒体博主。

10万AI领域读者，全网阅读500万，愿景是成为AI(提示)布道者，带领100万小白入门AI。

小册共10个专栏：Deepseek 最佳实践、AI工具、AI局限、最佳实践、提高可靠性、基础框架、国产大模型、大全GPTs拆解、Al+变现指南。

02 AI编程：Cursor 从入门到变现

本专栏由桥月行（一道桥、水月、行知）团队编写，解锁A编程新时代：掌握Cursor，轻松实现零代码变现！

本小册含Cursor安装教程、Cursor入门使用、Cursor从O到1开发软件案例，后续还会追更Cursor变现案例。

如何使用小报童？

01. 第一步

或直接在微信搜索栏中搜索“小报童投递”，直接关注即可。

02. 第二步

如果提示“登录”，直接“微信登录”即可。

登录后，即可看到已经订阅的列表！

注意：此处的微信，一定是你扫码购买的微信，否则看不到订阅的列表！

03. 第三步

点击列表中的要查阅的课程，进入即可.

进入后，记得先查看“置顶”信息。

04. 最后

当“退出”阅读，下次如何进入？

在你的“聊天列表”中，找到“小报童投递”，便可直接进入。

流程同上！

海外 AI 大模型中转长期提供

支持：

GPT / Claude / Gemini 等主流模型的会员和 API 中转
稳定高速，适合开发、办公、内容创作等场景

有需要可加微信（dao24dao）咨询。

[!WARNING] 由于官方价格会不定期调整，具体价格以实时咨询为准。这上面这段翻译成英文版

常驻提醒，别错过

:::warning[/ 常驻提醒，别错过 /]

阳清的数字资产

阳清博客：http://blog.yangqing.one
卡路里拍照识别：https://calorieai.yangqing.one
n8n模板：https://getn8ntemplates.com
电影站：https://123freemovies.site/
SBTI人格测试：https://sbti.yangqing.one
ContextSync: https://contextsync.yangqing.one
免费星球：https://t.zsxq.com/QxWxg

见面礼

加阳清私人微信（dao24dao），备注"公众号"，领取：【飞巴超级个体，梁靠谱0-1000万之路，findyi超级个体0-100万变现】副业百万秘籍的电子书。
《一人企业复利商业化》最新电子版，在 "阳清AI一人企业" 公众号后台回复 2512 直接拿（免费）
送你一张AI头部社群 "AI 破局俱乐部" 的 三天免费体验卡，AI时代一起破局。 :::

A Mobile-Friendly HTML Code Editor and Preview Tool

Sun, 22 Feb 2026 00:00:00 GMT

Use Cases

Anyone who has used DeepSeek knows that HTML code generated by DeepSeek can run directly on a computer without extra steps.

However, it cannot run on mobile devices.

This means that without a computer nearby, you cannot write code and debug it on your phone—quite inconvenient.

To solve this, I used DeepSeek to create a small tool that took just 5 minutes to develop. You can run HTML code directly on your phone. It's incredibly simple—just open it in your browser.

Of course, you can also deploy this tool on your own server and access it anytime, anywhere!

Development Steps

1. Enter Your Prompt

Write me a complete HTML page.
Features:
1. An unlimited-length text input where users can enter HTML code (including CSS and JavaScript)
2. Two buttons below the input: "Run" and "Clear"
When clicking Run, execute the code in the input as HTML in the browser and display the result.
When clicking Clear, empty the input.
3. Style the entire interface following Linear app's design aesthetic with polished styling for each element.

After generation, you can click "Run Online" to see the effect immediately.

If there are issues, ask DeepSeek again to help!

For example, if the Run button doesn't respond:

The "Run" button doesn't respond. Please regenerate with complete code.

DeepSeek will provide the updated complete code, and you continue...

2. That's It

There's no step 2—you're done!

Deployment

For your convenience, I've provided a ready-made file package available for direct download and use.

Try it here: html-runner

Download directly: https://pan.quark.cn/s/317cd1ce5b89

Download the .html file, host it on your own server, and configure the access path.

Long-Term Overseas AI Large Model Proxy Services

Supports:

Memberships and API proxies for mainstream models like GPT / Claude / Gemini
Stable and high-speed, suitable for development, office work, content creation, and more

If you need this, add WeChat (dao24dao) for consultation.

[!WARNING] Since official prices may be adjusted periodically, please refer to real-time consultation for specific pricing.

Permanent Reminder, Don't Miss Out

:::warning[/ Permanent Reminder, Don't Miss Out /]

Yang Qing's Digital Assets

Yang Qing's Blog: http://blog.yangqing.one
Calorie Photo Recognition: https://calorieai.yangqing.one
n8n Templates: https://getn8ntemplates.com
Movie Site: https://123freemovies.site/
SBTI Personality Test: https://sbti.yangqing.one
ContextSync: https://contextsync.yangqing.one
Free Community: https://t.zsxq.com/QxWxg

Welcome Gifts

Add Yang Qing's personal WeChat (dao24dao) and note "Official Account" to receive the e-books: [Feiba Super Individual, Liang Kaopu's Path from 0 to 10 Million, findyi Super Individual 0 to 1 Million Monetization] - The Million-Dollar Side Hustle Secrets.
Get the latest digital edition of Solopreneur Compound Commercialization by replying 2512 to the "YangQing AI Solopreneur" WeChat official account (Free).
Here is a 3-day free trial card for the top-tier AI community "AI Breakthrough Club". Let's break through together in the AI era. :::

一个移动端友好的HTML代码编辑器和预览工具

Sun, 22 Feb 2026 00:00:00 GMT

使用场景

用过 DeepSeek 的人都知道，用 DeepSeek 生成的HTML代码，在电脑上是可以直接运行的（不需要额外操作）

但是手机上却无法运行。

这就导致如果手边没有电脑，在手机上写代码调试效果是没法实现的，很不方便。

针对此，我 DeepSeek 写了一个小工具，5 分钟开发完成，可以直接在手机上运行HTML代码，使用超级简单，直接浏览器打开即可。

当然，你也可以把这个小工具部署在自己的服务器上，随时随地可以访问！！

开发步骤

1、输入提示词

帮我写一个 html 的页面，要完整代码。
功能：
1. 一个不限长度的输入框，输入框中可以输入 html 代码（包含 css和 js 代码）
2. 输入框下面有两个按钮，分别是“运行”和“清空”;
点击运行，则以浏览器的形式运行输入框中的代码，展示效果；
点击清空，则把输入框中的内容清空。 
3. 整体风格参考 linear app 的风格来做，每个元素都要 有样式。

生成之后，可直接点击“在线运行”，看生成的效果。

/ 如果有问题，则继续问 DeepSeek，让它帮你解决！

比如：点击运行按钮没有反应。那你就输入：

点击“运行按钮”没反应，帮我重新生成。 要完整的代码。

DeepSeek 会帮你生成完整的最新代码，继续...

2、其实没有第 2 步，已经搞定了。

部署

为了方便大家直接体验，我提供了已经开发好的文件包，可直接下载使用。

体验地址： html-runner

或

直接下载：https://pan.quark.cn/s/317cd1ce5b89

把其中的 .html 结尾的文件，放到自己的服务器上，并配置访问路径即可。

海外 AI 大模型中转长期提供

支持：

GPT / Claude / Gemini 等主流模型的会员和 API 中转
稳定高速，适合开发、办公、内容创作等场景

有需要可加微信（dao24dao）咨询。

[!WARNING] 由于官方价格会不定期调整，具体价格以实时咨询为准。这上面这段翻译成英文版

常驻提醒，别错过

:::warning[/ 常驻提醒，别错过 /]

阳清的数字资产

阳清博客：http://blog.yangqing.one
卡路里拍照识别：https://calorieai.yangqing.one
n8n模板：https://getn8ntemplates.com
电影站：https://123freemovies.site/
SBTI人格测试：https://sbti.yangqing.one
ContextSync: https://contextsync.yangqing.one
免费星球：https://t.zsxq.com/QxWxg

见面礼

加阳清私人微信（dao24dao），备注"公众号"，领取：【飞巴超级个体，梁靠谱0-1000万之路，findyi超级个体0-100万变现】副业百万秘籍的电子书。
《一人企业复利商业化》最新电子版，在 "阳清AI一人企业" 公众号后台回复 2512 直接拿（免费）
送你一张AI头部社群 "AI 破局俱乐部" 的 三天免费体验卡，AI时代一起破局。 :::

YangQing · AI Solo Business - Build your one-person business with AI - tools, workflows, and strategies for indie developers

Switching Vendors Means Starting Over? This Is the Biggest Trap of AI Tools

01 Four Vendors, Four Independent Memories

02 This Isn't a Feature Issue, It's a Designed Trap

03 The Migration Tax: Hidden Cost of Switching Tools

04 Vendor Lock-in Is the Profit Strategy

05 ContextSync Breaks the Lock

06 Limited Beta, Only 20 Slots Left

Long-Term Overseas AI Large Model Proxy Services

Permanent Reminder, Don't Miss Out

Yang Qing's Digital Assets

Welcome Gifts

切换供应商就得从头开始？这是AI工具最大的陷阱

01 四个供应商，四个独立记忆

02 这不是功能问题，这是设计陷阱

03 迁移税：换工具的隐形成本

04 供应商锁定是AI工具的盈利策略

05 ContextSync打破锁定

06 限时内测，仅剩20个名额

海外 AI 大模型中转长期提供

常驻提醒 ，别错过

阳清的数字资产

见面礼

Miss 1% of Code, AI Fills the Blank with Hallucinations

01 Miss 1%, AI Starts Hallucinating

02 Context Retrieval is Mediocre at Best

03 Frequent Hallucinations, Wrong Answers

04 Two Memory Defects of AI Coding Agents

05 ContextSync: Ensure Complete Context

06 Limited Beta, Only 20 Spots Left

Long-Term Overseas AI Large Model Proxy Services

Permanent Reminder, Don't Miss Out

Yang Qing's Digital Assets

Welcome Gifts

你漏掉1%的代码，AI就会用幻觉填补空白

01 漏掉1%，AI就开始幻觉

02 上下文检索，非常平庸

03 经常幻觉，给错误答案

04 AI编码代理的两个记忆缺陷

05 ContextSync：确保完整上下文

06 限时内测，仅剩20个名额

海外 AI 大模型中转长期提供

常驻提醒 ，别错过

阳清的数字资产

见面礼

After 30 Minutes, 40% of Your AI Context Is Gone

01 After 30 Minutes, 40% of Context Is Gone

02 $2000+ Bill, No Code Quality Improvement

03 Two Fatal Memory Problems

04 Why Is AI Memory So Fragile?

05 ContextSync: Smart Context Compression

06 Limited Beta, Only 20 Spots Left

Long-Term Overseas AI Large Model Proxy Services

Permanent Reminder, Don't Miss Out

Yang Qing's Digital Assets

Welcome Gifts

30分钟后，你的AI上下文就没了40%

01 30分钟后，40%上下文消失

02 $2000+账单，代码质量没提升

03 两个致命的记忆问题

04 为什么AI记忆如此脆弱

05 ContextSync：智能压缩上下文

06 限时内测，仅剩20个名额

海外 AI 大模型中转长期提供

常驻提醒 ，别错过

阳清的数字资产

见面礼

The Moment You Close the Chat Window, AI Forgets You

01 Session Boundaries, the Reset Point for AI Memory

02 Re-summarizing Becomes the Real Bottleneck

03 The Common Defect of Mainstream AI Tools

04 The Root Cause of AI Amnesia

05 ContextSync Breaks Session Boundaries

06 Limited Beta, Only 20 Spots Left

Long-Term Overseas AI Large Model Proxy Services

Permanent Reminder, Don't Miss Out

Yang Qing's Digital Assets

Welcome Gifts

关掉对话窗口的那一刻，AI就把你忘了

01 会话边界，AI记忆的清零点

常驻提醒，别错过

常驻提醒，别错过

常驻提醒，别错过

常驻提醒，别错过

常驻提醒，别错过

常驻提醒，别错过

常驻提醒，别错过