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?
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.
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03 The Migration Tax: Hidden Cost of Switching Tools#
Let me break down the math.
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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
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