Discover how AI code refactoring improves software quality, performance, and maintainability. This guide explores the key principles of AI-driven refactoring, including automated code analysis, error detection, and optimization techniques. Learn how modern AI tools streamline development by identifying redundant code, enhancing readability, reducing technical debt, and ensuring scalability. From simplifying complex architectures to boosting efficiency, AI-powered refactoring empowers developers to focus on innovation rather than repetitive tasks. Explore the benefits, best practices, and techniques that make AI an essential ally in modern software engineering for building robust, clean, and future-ready applications.
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AI Code Refactoring: Principles, Techniques, and Benefits | by Lilly Gracia | Sep, 2025 | Medium
AI Code Refactoring: Principles, Techniques, and Benefits Coders will tell you that dealing with messy code is a pain. But starting over is even more of a headache. Luckily, AI can help clean up your …
https://lillygracia.medium.com/ai-code-refactoring-principles-techniques-and-benefits-83f058f62572