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Add CodeRabbit AI integration configuration
- Add .coderabbit.yaml with security-focused configuration - Configure path-specific instructions for different code areas - Add auto-approval for small, safe changes - Include ContextForge Memory-specific review prompts - Add comprehensive setup guide for CodeRabbit AI - Optimize for security, performance, and code quality reviews
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‎.coderabbit.yaml‎

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# CodeRabbit AI Configuration for ContextForge Memory
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# https://docs.coderabbit.ai/guides/code-review-best-practices/
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# General settings
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review:
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# Review tone - professional but friendly
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tone: "professional"
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# Focus on security, performance, and code quality
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focus:
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- "security"
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- "performance"
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- "code_quality"
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- "best_practices"
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- "documentation"
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# Ignore certain files and directories
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ignore:
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paths:
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- "**/*.pyc"
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- "**/__pycache__/**"
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- "**/.pytest_cache/**"
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- "**/node_modules/**"
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- "**/.venv/**"
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- "**/venv/**"
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- "**/data/**"
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- "**/logs/**"
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- "**/*.log"
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- "**/safety-results.json"
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- "**/audit-results.json"
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- "**/.coverage"
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- "**/coverage.xml"
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- "**/dist/**"
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- "**/build/**"
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- "**/.mypy_cache/**"
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# Path-specific instructions
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path_instructions:
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# API and main application code
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- paths: ["src/**/*.py"]
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instructions: |
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Focus on:
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- API design and RESTful principles
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- Error handling and validation
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- Security considerations (input validation, authentication)
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- Performance implications
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- Type hints and documentation
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- FastAPI best practices
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# Client libraries
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- paths: ["clients/**/*"]
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instructions: |
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Focus on:
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- API client design patterns
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- Error handling and retry logic
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- Type safety and interfaces
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- Documentation and examples
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- Cross-platform compatibility
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# CI/CD and workflows
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- paths: [".github/**/*"]
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instructions: |
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Focus on:
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- Security best practices
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- Workflow efficiency
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- Proper permissions and secrets handling
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- Dependabot configuration
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- Security scanning setup
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# Documentation
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- paths: ["*.md", "docs/**/*"]
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instructions: |
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Focus on:
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- Clarity and completeness
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- Up-to-date information
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- Proper markdown formatting
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- Security policy accuracy
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- Contribution guidelines
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# Configuration files
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- paths: ["requirements.txt", "pyproject.toml", "*.yaml", "*.yml"]
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instructions: |
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Focus on:
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- Dependency security and versions
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- Configuration best practices
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- Security implications
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- Proper formatting and structure
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# Review behavior
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behavior:
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# Auto-approve if no issues found and all checks pass
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auto_approve:
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enabled: true
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conditions:
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- "no_security_issues"
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- "no_critical_issues"
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- "ci_passes"
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- "small_change"
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# Create issues for significant problems
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create_issues:
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enabled: true
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threshold: "medium"
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# Security focus
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security:
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# Enhanced security scanning
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enabled: true
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focus:
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- "dependency_vulnerabilities"
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- "secrets_detection"
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- "injection_attacks"
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- "authentication_bypass"
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- "data_exposure"
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# Performance monitoring
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performance:
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enabled: true
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focus:
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- "api_response_times"
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- "memory_usage"
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- "database_queries"
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- "caching_strategies"
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# Integration settings
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integrations:
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# GitHub integration
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github:
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# Comment on PRs
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comment_on_pr: true
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# Create issues for problems
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create_issues: true
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# Suggest changes
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suggest_changes: true
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# Custom review prompts
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custom_prompts:
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- name: "ContextForge Memory Review"
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prompt: |
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You are reviewing code for ContextForge Memory, a lightweight external memory layer.
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Key considerations:
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- This is a memory service with store, search, and embed APIs
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- Security is critical - this handles potentially sensitive data
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- Performance matters - it should be fast and efficient
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- The API should be simple and intuitive
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- Code should be well-documented and maintainable
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Pay special attention to:
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- Input validation and sanitization
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- Error handling and edge cases
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- API design consistency
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- Security vulnerabilities
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- Performance implications
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- Code clarity and documentation

‎CODERABBIT_SETUP.md‎

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# CodeRabbit AI Integration Guide
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## 🚀 **Optimized Setup for CodeRabbit AI**
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Your repository is now configured for optimal CodeRabbit AI integration!
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## 📋 **Branch Protection Settings for CodeRabbit**
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Update your branch protection settings to work with CodeRabbit AI:
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### **Recommended Settings:**
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1. Go to: `https://github.com/VirtualAgentics/ConextForge_memory/settings/branches`
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2. Edit the `main` branch rule
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3. Configure:
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- ✅ **Require a pull request before merging**
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- ✅ **Required number of reviewers**: `1` (CodeRabbit will count as 1 reviewer)
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- ✅ **Require review from code owners**: Keep enabled
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- ✅ **Dismiss stale PR approvals when new commits are pushed**
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- ✅ **Require status checks to pass before merging**
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- ✅ **Require branches to be up to date before merging**
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- ✅ **Require conversation resolution before merging**
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## 🔧 **CodeRabbit Configuration**
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The `.coderabbit.yaml` file includes:
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### **Security Focus:**
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- Dependency vulnerability scanning
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- Secrets detection
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- Input validation checks
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- Authentication bypass detection
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### **Performance Monitoring:**
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- API response time analysis
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- Memory usage optimization
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- Database query efficiency
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- Caching strategy suggestions
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### **ContextForge-Specific:**
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- Memory service best practices
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- API design consistency
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- Data handling security
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- Performance optimization
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## 🎯 **Best Practices with CodeRabbit**
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### **1. Small, Focused PRs**
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- Keep PRs under 400 lines when possible
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- One feature/fix per PR
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- Clear, descriptive commit messages
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### **2. Use CodeRabbit Commands**
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- `@coderabbitai review` - Get review on new changes
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- `@coderabbitai explain` - Get explanation of code
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- `@coderabbitai suggest` - Get improvement suggestions
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### **3. Interactive Features**
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- Ask questions in PR comments
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- Request specific types of analysis
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- Get explanations for complex logic
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## 🔍 **What CodeRabbit Will Check**
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### **Security:**
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- ✅ Dependency vulnerabilities
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- ✅ Hardcoded secrets
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- ✅ SQL injection risks
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- ✅ Input validation gaps
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- ✅ Authentication issues
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### **Code Quality:**
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- ✅ Type hints and documentation
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- ✅ Error handling
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- ✅ Code duplication
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- ✅ Performance bottlenecks
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- ✅ Best practices
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### **API Design:**
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- ✅ RESTful principles
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- ✅ Consistent naming
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- ✅ Proper HTTP status codes
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- ✅ Error response format
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## 🚀 **Getting Started**
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1. **Install CodeRabbit** (if not already done):
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- Go to: https://coderabbit.ai
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- Connect your GitHub account
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- Install on this repository
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2. **Test the Integration**:
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- Create a small test PR
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- Watch CodeRabbit analyze your code
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- Try the interactive commands
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3. **Customize Further**:
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- Modify `.coderabbit.yaml` as needed
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- Add project-specific instructions
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- Configure team preferences
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## 📊 **Expected Benefits**
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- **Faster Reviews**: Automated first-pass analysis
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- **Better Security**: Proactive vulnerability detection
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- **Improved Quality**: Consistent code standards
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- **Learning**: Get explanations and best practices
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- **Efficiency**: Focus human time on architecture and design
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## 🔧 **Troubleshooting**
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### **CodeRabbit Not Responding:**
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- Check if it's installed on the repository
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- Verify the `.coderabbit.yaml` file is committed
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- Try `@coderabbitai review` command
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### **Too Many Comments:**
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- Adjust the `ignore` section in `.coderabbit.yaml`
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- Use `path_instructions` to focus on specific areas
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### **Missing Context:**
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- Add more specific instructions in `path_instructions`
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- Use the custom prompts section
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## 🎉 **You're All Set!**
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Your repository is now optimized for CodeRabbit AI integration. The AI will provide:
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- Automated security scanning
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- Code quality analysis
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- Performance suggestions
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- Best practice recommendations
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- Interactive code explanations
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Happy coding with AI-powered reviews! 🚀

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