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Description
Description
I propose adding a new 'Best Practices' section to the awesome-coderabbit repository. This section would provide valuable guidance for users on how to get the most out of CodeRabbit's AI code review capabilities.
Proposed Content
The new section would include:
-
Configuration Best Practices
- Tips for optimizing the
.coderabbit.yaml
configuration - Examples of effective tone instructions for different team contexts
- Strategies for using path-specific instructions effectively
- Tips for optimizing the
-
Review Workflow Best Practices
- Guidelines for integrating CodeRabbit into existing code review processes
- Tips for interpreting and acting on AI-generated feedback
- Best practices for team collaboration with AI-assisted reviews
-
Language-Specific Best Practices
- Recommendations for JavaScript/TypeScript projects
- Recommendations for Python projects
- Recommendations for other popular languages
-
Performance Optimization
- Tips for reducing review time
- Strategies for focusing reviews on critical code areas
- Guidelines for balancing thoroughness and speed
Implementation
I suggest adding this section after the 'Configuration Examples' section and before the 'Integration Guides' section in the README.md file.
Benefits
- Helps new users get up to speed more quickly
- Provides experienced users with optimization strategies
- Centralizes knowledge that is currently scattered across blog posts and documentation
- Enhances the overall value of the awesome-coderabbit repository as a resource
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