AI Generated Code

AI-generated code leverages machine learning models, including autoencoders and large language models (LLMs), to automatically produce code in various programming languages, aiming to improve developer productivity and automate software development tasks. Current research focuses on evaluating the quality, correctness, and security of this generated code, exploring techniques like symbolic execution and novel metrics to assess accuracy and identify vulnerabilities. This field is significant due to its potential to accelerate software development across diverse domains, from scientific computing to medical applications, while simultaneously raising crucial concerns about code reliability, security, and the ethical implications of its widespread adoption.