Abstract
In software development, the productivity of code refactoring is increased by the use of artificial intelligence (AI). AI methods such as machine learning (ML), natural language processing (NLP), and genetic algorithms (GA) can be used in the refactoring process. Each method has a certain impact on the process, both positive and negative. With this in mind, the work performed by AI requires careful management to avoid a number of problems, such as "hallucinations". Research continues to explore new methods, evaluate comparative effectiveness, and optimize AI models for specific frameworks and languages.
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