Towards Implementing and Evaluating AI-Assisted Pull Requests in Software Engineering Education

Pull requests allow developers to suggest and review codebase changes collaboratively. This process is standard for maintaining code quality and following best practices. The recent emergence of Large Language Models like ChatGPT and GitHub Copilot has shown great potential in improving coding efficiency and accuracy in software engineering. This paper outlines a study design to explore the integration of an AI tool to streamline PR reviews in a software engineering course. By incorporating the pr-agent into the curriculum, the study aims to evaluate its impact on students' coding skills, understanding of PR processes, and overall learning experience. The evaluation strategy includes collecting quantitative and qualitative feedback from students to assess the effectiveness of the tool. The results will offer insight into the feasibility and benefits of integrating AI tools in software engineering education.