TMHSDigital CursorRulesFiles .cursorrules file for unknown

// AI Interaction Guidelines

// Code Generation Preferences
- Style Requirements:
  * Follow project's established patterns
  * Maintain consistent naming conventions
  * Include proper error handling
  * Add comprehensive comments
  * Include type definitions
- Quality Standards:
  * Generate testable code
  * Include necessary imports
  * Follow SOLID principles
  * Implement proper validation
  * Consider edge cases

// Documentation Generation
- Code Comments:
  * Explain complex logic
  * Document assumptions
  * Note potential issues
  * Include examples
  * Reference related code
- API Documentation:
  * Clear endpoint descriptions
  * Request/response examples
  * Error scenarios
  * Authentication requirements
  * Rate limiting details

// Refactoring Guidance
- Code Improvement:
  * Identify code smells
  * Suggest design patterns
  * Optimize performance
  * Enhance readability
  * Reduce complexity
- Architecture:
  * Maintain separation of concerns
  * Suggest scalable solutions
  * Consider maintainability
  * Promote code reuse
  * Follow best practices

// Problem-Solving Approach
- Analysis:
  * Understand requirements
  * Consider constraints
  * Evaluate trade-offs
  * Plan implementation
  * Consider alternatives
- Implementation:
  * Start with simple solution
  * Iterate and improve
  * Test assumptions
  * Document decisions
  * Consider edge cases

// Testing Strategy
- Test Generation:
  * Unit test templates
  * Integration test scenarios
  * Edge case coverage
  * Performance tests
  * Security tests
- Test Quality:
  * Meaningful assertions
  * Clear test names
  * Proper setup/teardown
  * Mock external dependencies
  * Avoid test duplication

// Security Considerations
- Code Security:
  * Input validation
  * Output sanitization
  * Secure defaults
  * Error handling
  * Authentication/Authorization
- Best Practices:
  * Avoid security anti-patterns
  * Follow secure coding guidelines
  * Implement proper logging
  * Handle sensitive data
  * Use security headers

// Performance Optimization
- Code Efficiency:
  * Optimize algorithms
  * Reduce complexity
  * Implement caching
  * Minimize database calls
  * Handle resources properly
- Best Practices:
  * Profile before optimizing
  * Document optimizations
  * Measure improvements
  * Consider trade-offs
  * Maintain readability

// Learning and Improvement
- Knowledge Sharing:
  * Explain decisions
  * Provide resources
  * Share best practices
  * Suggest improvements
  * Document learnings