api-design-principles

API Design Principles

Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers and stand the test of time.

When to Use This Skill

• Designing new REST or GraphQL APIs
• Refactoring existing APIs for better usability
• Establishing API design standards for your team
• Reviewing API specifications before implementation
• Migrating between API paradigms (REST to GraphQL, etc.)
• Creating developer-friendly API documentation
• Optimizing APIs for specific use cases (mobile, third-party integrations)

Core Concepts

1. RESTful Design Principles

Resource-Oriented Architecture

• Resources are nouns (users, orders, products), not verbs
• Use HTTP methods for actions (GET, POST, PUT, PATCH, DELETE)
• URLs represent resource hierarchies
• Consistent naming conventions

HTTP Methods Semantics:

• GET: Retrieve resources (idempotent, safe)
• POST: Create new resources
• PUT: Replace entire resource (idempotent)
• PATCH: Partial resource updates
• DELETE: Remove resources (idempotent)

2. GraphQL Design Principles

Schema-First Development

• Types define your domain model
• Queries for reading data
• Mutations for modifying data
• Subscriptions for real-time updates

Query Structure:

• Clients request exactly what they need
• Single endpoint, multiple operations
• Strongly typed schema
• Introspection built-in

3. API Versioning Strategies

Strategy	Format	Tradeoffs
URL path	/api/v1/users	Simple, visible; pollutes URIs
Header	Accept: application/vnd.api+json; version=1	Clean URIs; harder to test in browser
Query param	/api/users?version=1	Easy to test; non-standard

Pick one strategy per API surface and stick to it. URL versioning is the most common choice for public APIs.

REST API Design Patterns

Pattern 1: Resource Collection Design

# Good: Resource-oriented endpoints
GET    /api/users              # List users (with pagination)
POST   /api/users              # Create user
GET    /api/users/{id}         # Get specific user
PUT    /api/users/{id}         # Replace user
PATCH  /api/users/{id}         # Update user fields
DELETE /api/users/{id}         # Delete user

# Nested resources
GET    /api/users/{id}/orders  # Get user's orders
POST   /api/users/{id}/orders  # Create order for user

# Bad: Action-oriented endpoints (avoid)
POST   /api/createUser
POST   /api/getUserById
POST   /api/deleteUser

Pattern 3: Error Handling

Status Code Map:

STATUS_CODES = {
    "success": 200,
    "created": 201,
    "no_content": 204,
    "bad_request": 400,
    "unauthorized": 401,
    "forbidden": 403,
    "not_found": 404,
    "conflict": 409,
    "unprocessable": 422,
    "internal_error": 500
}

Consistent error response shape:

class ErrorResponse(BaseModel):
    error: str          # Machine-readable code (e.g., "NotFound")
    message: str        # Human-readable description
    details: Optional[dict] = None
    timestamp: str
    path: str

# Example helper
def raise_not_found(resource: str, id: str):
    raise HTTPException(
        status_code=404,
        detail={
            "error": "NotFound",
            "message": f"{resource} not found",
            "details": {"id": id}
        }
    )

Best Practices

REST APIs

1. Consistent Naming: Use plural nouns for collections (/users, not /user)
2. Stateless: Each request contains all necessary information
3. Use HTTP Status Codes Correctly: 2xx success, 4xx client errors, 5xx server errors
4. Version Your API: Plan for breaking changes from day one
5. Pagination: Always paginate large collections
6. Rate Limiting: Protect your API with rate limits
7. Documentation: Use OpenAPI/Swagger for interactive docs

GraphQL APIs

1. Schema First: Design schema before writing resolvers
2. Avoid N+1: Use DataLoaders for efficient data fetching
3. Input Validation: Validate at schema and resolver levels
4. Error Handling: Return structured errors in mutation payloads
5. Pagination: Use cursor-based pagination (Relay spec)
6. Deprecation: Use @deprecated directive for gradual migration
7. Monitoring: Track query complexity and execution time

Common Pitfalls

• Over-fetching/Under-fetching (REST): Fixed in GraphQL but requires DataLoaders
• Breaking Changes: Version APIs or use deprecation strategies
• Inconsistent Error Formats: Standardize error responses
• Missing Rate Limits: APIs without limits are vulnerable to abuse
• Poor Documentation: Undocumented APIs frustrate developers
• Ignoring HTTP Semantics: POST for idempotent operations breaks expectations
• Tight Coupling: API structure shouldn't mirror database schema

Reference Files

File	Contents
references/rest-patterns.md	Pagination/Filtering (Pattern 2), HATEOAS (Pattern 4)
references/graphql-patterns.md	Schema Design, Resolver Design, DataLoader (N+1 prevention)
references/rest-best-practices.md	Comprehensive REST API design guide
references/graphql-schema-design.md	GraphQL schema patterns and anti-patterns
assets/rest-api-template.py	FastAPI REST API template
assets/api-design-checklist.md	Pre-implementation review checklist