Chapter 1: Introduction to Automated API Development
Understanding the role of AI in streamlining API creation and management.
Chapter 2: Setting Up Your Environment for AI-Driven API Development
Preparing tools and frameworks for building AI-enhanced RESTful APIs.
Chapter 3: Designing RESTful APIs with AI Assistance
Using AI to plan and structure efficient, scalable API endpoints.
Chapter 4: Automating API Documentation Generation
Generating comprehensive documentation using AI tools.
Leveraging AI to write API code for CRUD operations and more.
Chapter 6: Using AI for Input Validation and Error Handling
Implementing AI-driven solutions for robust input validation and error management.
Chapter 7: Automating Authentication and Authorization
Integrating AI for secure, automated handling of API security layers.
Chapter 8: Enhancing API Testing with AI
Using AI to generate and execute comprehensive API tests.
Chapter 9: Optimizing API Performance with AI Techniques
Improving speed and efficiency with AI-driven performance optimization.
Chapter 10: AI for Predictive Scaling and Load Balancing
Utilizing AI to predict and handle API load and scalability needs.
Chapter 11: Monitoring and Logging with AI Insights
Using AI to monitor API health and provide intelligent insights through logs.
Chapter 12: Automating API Version Control
Streamlining version management and deployment of API changes with AI.
Chapter 13: Integrating Machine Learning Models into APIs
Exposing ML model predictions and analyses through API endpoints.
Chapter 14: Automated Data Transformation and Response Formatting
Using AI to handle data transformation and format responses dynamically.
Chapter 15: Future of AI in API Development and Management
Exploring advancements and the evolving role of AI in API services.