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API Lifecycle
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Introduction
Table of Contents
API Academy
Get Started
What is an API?
How Does an API Work?
How to Call an API?
How to Read an API Documentation?
Chapter Summary
Get realtime weather
API Fundamentals
API Funtamentals: Overview
Method & Path
Parameters
Request Body
Responses
API Specification & OAS
Chapter Summary
Working with APIs
Working with APIs: Overview
Making Requests from Spec
Environments and Variables
Chaining Multiple Endpoints
Handling Authentication
Handling API Signatures
Introduction to Scripts
Chapter Summary
Mocking APIs
Mocking APIs: Overview
Smart Mock
Mock Expectations
Cloud Mock
Mock Scripts
Chapter Summary
Designing APIs
Designing APIs: Overview
Introduction to API Design
Creating Your First API Project
Analyzing Requirements and Planning Your API
Designing Data Models
Designing Endpoints
Using Components and Reusability
Setting Up Authentication
API Design Guidelines
Chapter Summary
Developing APIs
Developing APIs: Overview
Setup: Install Your AI Coding Assistant
Quick Start: From Spec to Running API in 30 Minutes
Understanding the Generated Code
Testing Your API with Apidog
Deployment: Put Your API Online
Chapter Summary
Testing APIs
Testing APIs: Overview
Getting Started: Your First Test Scenario
Integration Testing and Data Passing
Dynamic Values
Assertions and Validations
Flow Control: If, For, ForEach
Data-Driven Testing
Performance Testing
Test Reports and Analysis
CI/CD Integration
Scheduled Tasks and Automation
Advanced Testing Strategies
Chapter Summary
API Documentations
API Documentations: Overview
Publishing Your First API Doc
Customizing Documentation Appearance
Interactive Features for Consumers
Advanced Publishing Settings
Managing API Versions
Chapter Summary
Advanced API Technologies
API Technologies: Overview
GraphQL
gRPC
WebSocket
Socket.IO
Server-Sent Events (SSE)
SOAP
Chapter Summary
API Lifecycle
API Lifecycle: Overview
Stages of the API Lifecycle
API Governance
API Security Best Practices
Monitoring and Analytics
API Versioning Strategies
The Future of APIs
Chapter Summary
API Security
API Security: Overview
API Security Fundamentals
Authentication vs Authorization
Understanding OAuth 2.0 and OpenID Connect
JSON Web Tokens (JWT)
OWASP API Security Top 10
Encryption and HTTPS
Chapter Summary
API Tools
API Tools: Overview
The Evolution of API Tools
API Clients
Command Line Tools (cURL, HTTPie)
API Design and Documentation Tools
API Mocking Tools
API Testing Tools
All-in-One API Platforms
Chapter Summary
API Gateway
API Gateway: Overview
What is an API Gateway?
Key Features of API Gateways
API Gateway vs Load Balancer vs Service Mesh
Popular API Gateway Solutions
The BFF (Backend for Frontend) Pattern
Chapter Summary
Modern Pet Store
Pet
Get Pet
Update Pet
Delete Pet
Create Pet
List Pets
Upload Pet Image
User
Update User
Get User
Delete User
Login
Logout
Create User
Store
List Inventory
Create Order
Get Order
Delete Order
Callback Example
Pay for an Order
Payments
Pay Order
Chat
Create Chat Completion
Webhooks
Pet Adopted Event
New Pet Available Event
Schemas
Pet
Category
User
ApiResponse
OrderPayment
Tag
Order
Links-Order
PetCollection
Bank Card
Bank Account
Links
Error
Home
Petstore API
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Home
Petstore API
Explore more APIs
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API Lifecycle
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The Future of APIs
We are entering a new era. For the last decade, APIs were built by humans, for humans to write code against. The next decade will define APIs built by humans (or AI), for
AI Agents
to consume autonomously.
1. AI-Driven Development
#
Tools like Apidog's coding assistants are just the start.
Text-to-API
: "Build me a flight booking API" -> Complete OAS file generated instantly.
Self-Healing SDKs
: Client libraries that automatically update when the spec changes.
2. Autonomous Agents
#
LLMs (Large Language Models) are learning to read OpenAPI specifications to perform tasks.
ChatGPT Plugins
: Essentially APIs wrapped in a manifest.
Action Execution
: An AI agent reads your
POST /order
doc, understands the schema, and places an order for a user without custom glue code.
Implication
: Your API descriptions (documentation) must be clearer than ever, as they are now prompts for the AI.
3. Multi-Protocol Ecosystems
#
The "REST vs. GraphQL" war is over. The answer is "Both".
Modern architectures will blend protocols: gRPC for internal microservices, GraphQL for frontend flexibility, and REST for public integrations.
Platforms like Apidog that support all protocols in one workspace will become the standard hub.
Key Takeaways
#
Documentation is for Machines
: Writing clear descriptions in your OAS is now critical for AI discovery.
Hybrid Future
: APIs will not be just REST; expect to manage a mix of Async, GraphQL, and RPC.
Continuous Evolution
: The only constant in the API space is change. Stay adaptable.
Continue with
β
Chapter Summary
Modified atΒ
2025-12-29 10:42:25
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