AI code refactoring: 7 ways Tabnine transforms refactoring

AI code refactoring is a process that leverages machine learning algorithms, particularly large language models (LLMs), to automate the restructuring of existing code without altering its functionality. This approach enhances code readability, quality, and maintainability while reducing complexity and the developer's workload. Tabnine, a prominent AI code assistant, utilizes cutting-edge LLM technology to automate and enhance refactoring tasks by offering features such as automated refactoring for different use cases, code explanations, a high-level overview of projects, and personalized recommendations. Tabnine ensures privacy and compliance by using a protected model trained on permissively licensed open-source libraries and offers support for multiple programming languages and IDEs. It allows developers to switch between various LLMs to match their needs for privacy and performance. By automating code refactoring, AI tools like Tabnine facilitate increased efficiency, enhanced code quality, improved maintainability, error reduction, consistency across codebases, and cost savings, ultimately allowing developers to focus more on innovation.