Claude CodePro Backend Models & Standards
Overview
Standards and best practices for backend development with AI agents.
Model Standards
API Design
- RESTful principles
- GraphQL when appropriate
- Consistent naming conventions
- Versioning strategy
Database
- Use parameterized queries
- Implement proper indexing
- Follow normalization rules
- Plan for migrations
Security
- Input validation
- Output sanitization
- Authentication/Authorization
- Rate limiting
- Secret management
Performance
- Query optimization
- Caching strategies
- Async processing
- Resource limits
Code Standards
TypeScript
- Strict mode enabled
- Explicit return types
- No
anytypes - Interface over type
Error Handling
- Structured error responses
- Proper HTTP status codes
- Error logging
- User-friendly messages
Testing
- Unit tests for business logic
- Integration tests for APIs
- Load testing for performance
- Security testing
Documentation
- API documentation (OpenAPI/Swagger)
- Architecture decision records
- README for each service
- Inline code comments
Usage
Apply these standards when:
- Designing backend architectures
- Writing API endpoints
- Implementing database schemas
- Setting up security measures