Code review automation utilizes AI algorithms to streamline the code review process by automatically analyzing code changes, identifying potential issues, and providing actionable feedback to developers. By examining code syntax, style, and structure, AI-driven code review tools enforce coding standards, detect code smells, and highlight potential bugs and security vulnerabilities. Automated code review accelerates the review cycle, improves code quality, and facilitates collaboration among development teams. Moreover, AI-powered code review systems leverage historical data and machine learning techniques to continuously learn and improve their feedback accuracy over time. By integrating code review automation into version control systems and continuous integration pipelines, organizations can enforce best practices, reduce manual effort, and accelerate software delivery while ensuring code consistency and reliability.