This research introduces a novel approach to automate high-quality code reviews using large language models, improving efficiency and effectiveness in software development.

• Generates structured review comments that precisely identify code issues
• Facilitates more accurate code changes based on AI-generated feedback
• Streamlines the code review process through well-crafted comments that guide developers
• Supports both immediate code review and subsequent code refinement tasks

For engineering teams, this research offers practical pathways to reduce manual review burden while maintaining or improving code quality standards. The approach helps development teams scale code review processes without sacrificing thoroughness.

Harnessing Large Language Models for Curated Code Reviews