Code Generator

Code generation, using AI models to automatically produce code from natural language descriptions, aims to improve developer productivity and automate software development tasks. Current research focuses on enhancing code quality, personalization, and security, employing large language models (LLMs) and non-autoregressive approaches to improve speed and accuracy. These advancements have implications for various domains, including software engineering, IT automation, and even scientific research, by accelerating development cycles and potentially mitigating security vulnerabilities in generated code.