When reviewing software development changes, teams need to evaluate not only syntax correctness but also readability, maintainability, performance, and how well the change aligns with their team's style. To address this challenge, AI-powered tools like Greptile are being used to provide deep, context-aware feedback on every pull request. These tools analyze entire repositories, recommending improvements such as descriptive naming, consistent formatting rules, and secure coding practices. They also detect performance antipatterns, identify functions lacking tests, and highlight risky practices that can lead to security vulnerabilities. By blending human expertise with AI-driven consistency, teams can ensure their code meets high standards in clarity, consistency, efficiency, testability, security, integration, and collaboration, ultimately empowering developers through constructive feedback and supporting growth.