Chapter 1: Introduction to AI in Coding
Understanding the impact of AI on the software development lifecycle.
Chapter 2: Setting Up an AI-Driven Development Environment
Tools and configurations for integrating AI in your coding environment.
Chapter 3: Exploring Code Generation Models
An introduction to AI models that generate code and automate tasks.
Chapter 4: Implementing AI-Assisted Code Completion
Enhancing coding speed and accuracy with AI-powered suggestions.
Using AI to identify and implement improvements in existing code.
Chapter 6: Debugging with AI: Faster and Smarter
Leveraging AI to streamline the debugging process and reduce errors.
Chapter 7: AI in Testing: Automating Unit and Integration Tests
Using AI to create, manage, and execute automated tests.
Chapter 8: Generating API Documentation with AI
Automatically documenting APIs and endpoints with AI tools.
Chapter 9: Building AI-Powered Chatbots for Coding Assistance
Developing chatbots that offer real-time help and coding support.
Chapter 10: AI for Code Optimization and Performance Tuning
Using AI to analyze and optimize code for better performance.
Chapter 11: Security Checks and Vulnerability Detection with AI
Employing AI to find and fix security vulnerabilities in code.
Chapter 12: AI-Driven DevOps and Continuous Integration
Integrating AI into DevOps for efficient deployment pipelines.
Chapter 13: Machine Learning for Predictive Maintenance in Code
Using AI to predict potential failures and maintenance needs in software.
Chapter 14: AI in UI/UX Design: Automating Front-End Development
Generating user interfaces and improving user experience with AI.
Chapter 15: The Future of AI in Software Development
Exploring trends and the evolving role of AI in coding and development.