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:
- Collect real usage scenarios
- Provide complete runnable code
- Continuous updates and maintenance
- 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
