Mastering AI-Powered Code Refactoring for Legacy Systems

Chapter 1: Introduction to AI-Powered Code Refactoring

Understanding the role of AI in modernizing legacy codebases.

Configuring tools for AI-assisted refactoring in legacy systems.

Using AI to understand and analyze existing code structures.

Leveraging AI to detect code smells and areas for improvement.

Automating the improvement of functions and methods in legacy code.

Using AI to reorganize classes and modules for better modularity.

Enhancing legacy code with auto-generated documentation.

Applying AI to enhance the performance of older codebases.

Identifying and addressing security vulnerabilities using AI.

Using AI to create tests for newly refactored code.

Automating code migration with AI for improved language compatibility.

Using AI to restructure and optimize legacy databases.

Integrating AI-powered refactoring into CI/CD pipelines.

Ensuring long-term stability and maintainability through AI assistance.

Exploring trends and innovations in AI-driven code modernization.