AI-assisted code generation

Abstract Artificial Intelligence has brought a revolutionary change in software development techniques in the last few years. Code generation using Artificial Intelligence is one of the most crucial innovative approaches in software development, in which the machine learning algorithms are used to develop, complete, or transform code. This approach is based on massive code repositories, which leverage the power of large language models to provide the developer with efficient code. This technical paper focuses on a comprehensive review of code generation using Artificial Intelligence, including theoretical background, current literature contributions, approaches, and their interpretations, along with challenges. A structured approach is discussed in this technical paper to create a code generation system using transformer models. Additionally, experimental approaches, interpretations, security, as well as licencing, will also be covered in this technical paper. It will finally provide an overview of the future directions of Artificial Intelligence in software development.