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.
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.
AI memory problem - tools don't share context between conversations
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.
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