Trag provides a powerful AI-driven code review tool designed to improve the efficiency and accuracy of code review processes. It offers contextual feedback that adapts to your specific codebase, catching errors and bugs while supporting multiple programming languages. By integrating directly with popular platforms like GitHub and GitLab, it automates the review process and provides real-time analysis to maintain high code quality and faster review cycles.

LatteReview is an AI-driven code review agent designed to enhance software development workflows. Upon connecting to your GitHub repository, it automatically scans pull request diffs and applies model-based analysis to detect bugs, security flaws, code smells, and style violations. By providing inline comments, refactoring recommendations, and alternative code snippets, it helps teams maintain coding standards and accelerate review turnaround. Developers can customize review criteria, set language-specific rules, and integrate LatteReview into continuous integration pipelines. With reporting dashboards and trend analytics, teams gain insights into code quality over time. LatteReview’s notifications and feedback loops ensure that best practices become part of the development culture, boosting productivity and reducing the risk of errors in production.