This paper examines the application of generative AI in automating pull request (PR) reviews, focusing on large-scale pre-trained models . The study highlights the potential of AI-driven tools to generate comprehensive PR descriptions, identify code issues, and enhance developer productivity . Early results indicate that these tools, such as CodeEvaluator, can streamline the review process, reducing the time spent on routine tasks and improving the consistency of code quality checks . Despite the benefits, challenges such as the accuracy of AI-generated content and the necessity for human oversight are discussed, emphasizing the need for balanced integration of AI in software development workflows.