Conducting code reviews helps maintain the quality of software developed with stringent coding practices, compliance testing, and bug detection. Regardless, manual reviews are slow and subjective, often varying from one reviewer to the next. There have been advancements in Artificial Intelligence (AI), which has led to the emergence of smart code review engines. Such systems can scan, diagnose, and provide fixes for code automatically. AI has enabled the automation of tasks such as checking for compliance, which previously needed human intervention. Through employing AI such as machine learning and natural language processing, there is greater consistency in the speed and accuracy of reviews done as compared to human-assessed processes. This paper aims to examine systems that utilize AI for code review, elucidating their design, merits, difficulties, and prospects for growth. It discusses the role AI is playing in automation in regard to the review of computer program code and the subsequent impact on software engineering practices.
Volume 17 | Issue 2
Pages: 1-4