Code reviews have been a critical part of software development since the 1970s, helping to mitigate risk, promote best practices, and level up domain knowledge across teams. However, they are often slow, inefficient, and prone to subjective critique sessions due to time constraints, cognitive bias, and variability among developers. AI-powered tools and platforms, such as GitHub Copilot and CodeGuru, are making waves in the software development world by automating processes, suggesting optimizations, and generating code snippets to address identified issues. These tools leverage machine learning and advanced algorithms to provide speed, consistency, and automation while relying on humans for strategic decision-making and nuanced understanding. By integrating AI with human developers, teams can accelerate and offload tedious manual analysis, bug finding, and improve overall code quality, making the integration of AI in code reviews a transformative change rather than an incremental improvement.