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Hello everyone, this is programmer Wan Feng actively working on various AI projects.

OpenClaw case library is released (https://www.python-office.com/openclaw/).

But you might not know, this case library took整整 3 months from idea to launch.

Today, I want to talk about the story behind the case library.

🎬 Origin: A Student's Question

In December 2025, after a live course, I received a private message:

"Teacher Wan Feng, I learned OpenClaw's basic usage by following tutorials, but when I wanted to do a real project, I still didn't know where to start. Is there any reference cases I can look at?"

This question made me think deeply.

🤔 Research: Discovered Three Pain Points

In the following 2 weeks, I researched 100+ OpenClaw users.

Pain Point 1: Learned but Can't Use

Data: 67% of users said "understood tutorials, but can't actually apply"

Reasons:

  • Tutorials too theoretical
  • Lacking actual scenarios
  • Don't know how to migrate

Pain Point 2: Can't Find Reference

Data: 82% of users "can't find reference code when encountering problems"

Reasons:

  • Official documentation偏API说明
  • GitHub projects incomplete documentation
  • Blog articles not systematic

Pain Point 3: Reinventing the Wheel

Data: 75% of users "did things others had already done"

Reasons:

  • No case sharing platform
  • Information asymmetry
  • Insufficient community collaboration

💡 Idea: Build a Case Library

In early January 2026, I proposed the "case library" idea.

Core approach:

  1. Collect real usage scenarios
  2. Provide complete runnable code
  3. Continuous updates and maintenance
  4. Community co-building and sharing

🚧 Development: 3-Month Journey

Month 1: Content Collection

Work:

  • Organize scripts I've written
  • Collect excellent student work
  • Filter GitHub projects

Results: 50+ initial cases

Difficulties:

  • Code quality varied
  • Documentation missing
  • Needed reorganization

Month 2: Platform Development

Work:

  • Design website structure
  • Develop display pages
  • Implement search functionality

Results: Case library MVP

Difficulties:

  • Technical solution selection
  • Performance optimization
  • User experience polishing

Month 3: Content Improvement

Work:

  • Supplement case documentation
  • Add running screenshots
  • Write usage instructions

Results: 130+ complete cases

Difficulties:

  • Ensuring code runs
  • Unifying documentation format
  • Classification system design

🔑 Key Decisions

Decision 1: Free and Open

Discussion: Charge or not?

Conclusion: Free

Reasons:

  • Lower learning barrier
  • Expand user base
  • Ecological value greater than revenue

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