API Design Basics
How it works
- Input arrives
- Core component processes
- Result produced
- Observe and iterate
Overview
Focus on consistent resource naming, status codes, error shapes, and compatibility via versioning.Learning Objectives
🎯 RESTful Design Principles
Master REST architectural constraints and design consistent, intuitive APIs that follow industry standards
🔧 Versioning & Evolution
Learn API versioning strategies and backward compatibility techniques for seamless API evolution
⚡ Error Handling & Documentation
Understand comprehensive error handling patterns and API documentation best practices
Real-World Examples
🌐 GitHub API Evolution
GitHub's REST API v4 maintains backward compatibility while introducing GraphQL, using versioning headers and deprecation notices
💳 Stripe Payment API
Stripe's API design emphasizes consistent resource modeling and comprehensive error codes, making integration predictable
☁️ AWS Service APIs
AWS uses consistent naming conventions and pagination patterns across all services, enabling unified SDK development
🏪 Shopify REST API
Shopify's API includes rate limiting, webhook subscriptions, and detailed error responses for robust e-commerce integrations
Code example
Versioned REST endpoints with a standard error contract using Express.js:const express = require('express');
const app = express();
// v1 - users resource
app.get('/v1/users/:id', function (req, res, next) {
// lookup user...
res.json({ id: req.params.id, name: 'Alice' });
});
// Standard error shape
app.use(function (err, req, res, next) {
var status = err.status || 500;
res.status(status).json({ error: { code: status, message: err.message } });
});
app.listen(3000);
Implementation Notes
- Use semantic versioning in URLs (/v1/, /v2/) or headers (Accept: application/vnd.api+json;version=1)
- Implement consistent HTTP status codes (200, 201, 400, 404, 500) across all endpoints
- Design resource URLs following RESTful conventions (nouns, not verbs)
- Include pagination metadata (total_count, next_page) for collection endpoints
- Use content negotiation for different response formats (JSON, XML, CSV)
Best Practices
- Provide comprehensive API documentation with examples and error scenarios
- Implement rate limiting and include limit headers in responses
- Use consistent naming conventions (snake_case or camelCase) throughout the API
- Include request tracing IDs for debugging and support purposes
- Validate input thoroughly and return descriptive error messages
Common Pitfalls
- Breaking backward compatibility without proper deprecation notices and migration paths
- Using inconsistent error response formats that make client error handling difficult
- Returning sensitive information in error messages or API responses
- Not implementing proper authentication and authorization for protected resources
- Ignoring caching headers and performance optimization for frequently accessed endpoints