Chapter 1: Introduction to AI in the Development Pipeline
How AI is transforming software development workflows and processes.
Chapter 2: Setting Up an AI-Powered Development Environment
Configuring your workspace with AI tools for automation and efficiency.
Chapter 3: Using AI for Code Generation and Completion
Automating code writing with AI-assisted generation and completion tools.
Chapter 4: Integrating AI into Version Control Systems
Enhancing collaboration and code quality with AI in version control.
How AI can create and execute tests to ensure code reliability.
Chapter 6: Continuous Integration with AI
Streamlining CI/CD pipelines through AI-powered automation.
Chapter 7: Debugging Code with AI Assistance
Using AI to identify and resolve bugs more efficiently.
Chapter 8: Automated Documentation Generation
Generating readable and consistent documentation using AI tools.
Chapter 9: Optimizing Code for Performance with AI
Improving code efficiency and speed with AI-driven performance tools.
Chapter 10: AI in Security: Automated Vulnerability Detection
Using AI to identify and mitigate security risks in code.
Chapter 11: Using Machine Learning for Predictive Maintenance
Predicting and preventing issues in the development pipeline with ML.
Chapter 12: AI-Driven Deployment Automation
Automating deployment processes for faster and safer releases.
Chapter 13: Enhancing DevOps with AI Automation
Integrating AI into DevOps practices for greater agility and control.
Chapter 14: Managing AI-Generated Code in Production
Best practices for maintaining and scaling AI-created code.
Chapter 15: Future of AI in Software Development Automation
Exploring emerging trends and the future of AI in development pipelines.