Explainable reviews: CodeRabbit Review and the context engine that make it possible

CodeRabbit is an AI-native tool designed to enhance the software review process by providing a verification layer that goes beyond traditional bug detection, focusing instead on understanding the intent behind code changes. As AI agents increasingly handle coding tasks, CodeRabbit helps developers trace changes from implementation back to their original intent, ensuring that the system builds what was intended. The tool introduces a new review interface that uses semantic diffs to highlight meaningful changes, filtering out irrelevant ones, and connecting changes across files to provide a clear path through a pull request. This process involves a context engine that constructs a comprehensive understanding of code changes, integrating signals from various tools and engineering knowledge to deliver explainable reviews. CodeRabbit's evaluation framework ensures high-quality reviews by continuously refining model performance across millions of pull requests, helping teams maintain control over what ships while benefiting from AI-driven efficiencies.