The new Baz Reviewer introduces an AI-powered system for automated code review, focusing on detecting critical issues like type inconsistencies, syntax errors, and logical changes across functions and classes. It ensures updates are consistently propagated, reducing the risk of integration failures while improving overall reliability.

Beyond error detection, Reviewer provides actionable optimization suggestions, such as refining code structure and adopting modern language idioms. It enforces best practices, ensuring code is efficient, maintainable, and aligned with industry standards.

Reviewer also enhances testing by identifying gaps in coverage and ensuring functional changes are properly validated. With iterative and context-aware reviews, Reviewer streamlines development, minimizes technical debt, and accelerates high-quality code delivery.