The Reviewer Recommender extension automates the process of selecting suitable reviewers for academic papers. By analyzing the metadata of submissions and previous research, it efficiently matches manuscripts with the most qualified reviewers. This tool significantly enhances the workflow of editors by reducing time spent on reviewer selection while ensuring high-quality recommendations based on expertise and relevance.

AI PR Review operates as a GitHub Action that integrates into your existing CI pipeline to perform automated pull request analysis. Once configured in the workflow file, it invokes the OpenAI API to scan code changes, evaluating factors such as syntax errors, security vulnerabilities, adherence to style guidelines, and potential performance bottlenecks. The agent then generates human-readable feedback, suggestions, and code improvement prompts, which are posted as comments on the pull request. Advanced configuration options allow customization of the review depth, choice of AI model, and inclusion or exclusion of specific directories. By automating routine code review tasks, AI PR Review reduces reviewer workload, ensures consistent standards across contributions, and speeds up merge cycles.