Enhancing Software Quality through AI - Assisted Code Review: Insights from AWS Cloud Infrastructure Development

Sai Tarun Kaniganti

Abstract: Code review is a fundamental component of software development, serving as the primary mechanism for verifying code quality, minimizing defects, and promoting team cooperation. While being effective, the envisioned traditional code review processes can be very time - consuming and contain a high risk of human errors. The following paper aims at discussing the effects of code review on the quality of the developed software as well as relying on the existing scholarly studies and practical experience. Further, we discuss the possibility of adopting AI and ML for enriching the code review process. Therefore, based on the usage of AI, this paper presents a framework that aims at promoting the utilization of code reviews, especially in the AWS cloud infrastructure development domain (Robertson et al., 2021). This approach is one of the attempts to delegate the time - consuming work to machines, get wise recommendations, and, as a result, enhance the software quality without putting the pressure on human evaluators.

Keywords: code review, software quality, AI in code review, minimizing defects, AWS cloud development