### DescriptionI 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** by consolidating proven strategies and configuration examples in one place.---### Proposed Content#### 🧩 Configuration Best Practices- Tips for optimizing the `.coderabbit.yaml` configuration file  - Examples of effective `tone_instructions` for different team contexts  - Strategies for using `path_instructions` effectively to target specific code areas  #### 🔄 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 fostering team collaboration with AI-assisted reviews  #### 💻 Language-Specific Best Practices- Recommendations for **JavaScript/TypeScript** projects  - Recommendations for **Python** projects  - Guidance for other popular languages commonly supported by CodeRabbit  #### ⚙️ Performance Optimization- Tips for reducing review time without sacrificing quality  - Strategies for focusing reviews on critical code areas  - Guidelines for balancing review **thoroughness** and **speed**---### ImplementationThe new **“Best Practices”** section should be added:- **After:** the “Configuration Examples” section  - **Before:** the “Integration Guides” section in `README.md`---### Benefits- 🧭 **Helps new users** quickly adopt CodeRabbit with practical guidance  - 🚀 **Improves productivity** through clear optimization strategies  - 📚 **Centralizes knowledge** currently scattered across blogs and documentation  - 💎 **Enhances repository value** as a comprehensive learning and reference resource  ---### References- [CodeRabbit Documentation](https://docs.coderabbit.ai)  - [Official Blog: Best Practices & Use Cases](https://www.coderabbit.ai/blog)  - [Example Configurations](https://github.com/coderabbitai/awesome-coderabbit/tree/main/configs)