Team Code reviews are essential for the development process, ensuring that code meets standards before being merged into the main branch. With the adoption of AI-generated code, reviews have become even more critical to avoid security and performance issues. The use of tools like SonarQube can enhance the speed and security of code reviews while increasing developer confidence. Code reviews aim to identify bugs, ensure code quality, enhance security, and promote knowledge sharing among team members. However, traditional code reviews present challenges such as time-intensity, inconsistencies, high cognitive load, and delayed feedback. Smarter tools are needed to assist with the heavy lifting of code reviews. Using good manners during Code Reviews can help teams reach their full potential and reduce friction and anxiety. SonarQube is a powerful tool that provides continuous code quality and security inspection, offering detailed insights and actionable feedback. It automates code analysis, enforces coding standards, provides security insights, and offers clear, actionable feedback to developers. Integrating AI-generated code into the SDLC process requires combining human expertise with automated tools to maintain robust and secure codebases as software development evolves.