AI Collaboration Common Rules Released as Open Source
AI Collaboration Common Rules Released as Open Source
Gizin Inc. has published "AI Collaboration Common Rules v2.0" on GitHub Gist, systematizing practical know-how for AI-assisted development.
Background
Through development experience across multiple projects using Claude Code, we've identified common patterns for effective AI collaboration. By sharing this knowledge widely, we aim to contribute to the advancement of AI-assisted development.
Main Contents
-
1. Basic Principles
- Thorough self-investigation
- Balanced proactivity
- Proactive questioning principles
- Information priority (System reality > Documentation)
- 2. Proactive AI Collaboration
- Pre-consultation for data structure changes
- Proposals for implementations differing from existing patterns
- Decisions involving performance and security
- Confirmation for large-scope changes
- 3. Work Management
- Session management and documentation
- Proper use of Todo and Task tools
- Efficient routine work with "mid-close" and "close"
- 4. Communication
- Principles for avoiding verbose explanations
- Concise responses with the 4-line rule
How to Use
Using Claude Code's @import
feature, you can easily reference common rules across multiple projects:
# Project Name Operation & Improvement Guide
@../COMMON_RULES.md
## Project-Specific Rules
(Project-specific content follows)
Access
The common rules are published on the following GitHub Gist:
🔗 AI Collaboration Common Rules v2.0
Feedback and opinions are welcome via Gist comments or the developer's X (@HirokaKoizumi).
Future Development
These common rules are a "living document" that will be continuously improved through practice. Based on feedback from everyone, we plan to evolve them into more practical rules.
Related Information
A detailed explanation article is available on AI TIPS:
Released Common Rules for AI-Assisted Development
We hope these common rules serve as valuable guidelines for everyone involved in AI-assisted development.