Using Artificial Intelligence to Convert Code to Another Programming Language

This study presents a solution to the problem of automating the conversion of program code between different programming languages using artificial intelligence (AI) technologies This area is becoming increasingly relevant with the development of multilingual projects and the need to integrate existing solutions written in different programming languages. The difficulty of translating code between programming languages lies not only in the syntactic differences between languages, but also in preserving the semantics and logic of the original code. Artificial intelligence can help to recognize patterns and dependencies in the code, which will allow you to more effectively adapt the code to the target language, taking into account its features. The use of machine learning algorithms, in particular neural networks, allows you to develop systems that can learn from code examples and independently improve their conversion algorithms. Such systems analyze the abstract syntax tree (AST) of the code, create intermediate representations, and generate the target code. Various tools and platforms have been developed to simplify this process and increase its accuracy. The process of code transformation with the help of AI is used in many areas, including refactoring existing software, integrating systems written in different languages, and in the educational process, where it can be used to teach students the basics of different programming languages.