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 any types
• 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