Overview

Next.js Bundle Analysis is an essential tool for developers working with Next.js applications, allowing them to keep tabs on their app’s bundle size through GitHub Actions. By analyzing each pull request (PR), it offers insight into how changes affect performance, ensuring that the application remains optimized and adheres to defined performance budgets. This integration not only aids in identifying size increases promptly but also enhances collaboration among team members by encapsulating the results in easy-to-read comments.

The setup process is straightforward, requiring just a few commands to add the necessary workflow files into your project. With configuration options available in the package.json, developers can tailor the analysis to meet their specific needs, enhancing the effectiveness of the tool in managing their application’s performance.

Features

• Automatic Bundle Analysis: Analyzes the impact of each PR on the Next.js app’s bundle size, automatically commenting on the changes directly in GitHub.

• Performance Budgets: Supports setting and monitoring performance budgets, helping teams keep their applications under control regarding load sizes.

• Customizable Configurations: Allows configuration directly in package.json, enabling developers to adjust settings like output directories or default branches easily.

• Detailed Insights: Offers an optional “details” section under the analysis comment, explaining the finer points of bundle size changes for deeper understanding.

• Change Thresholds: Enables setting a minimum change threshold to determine when a size change is significant, minimizing unnecessary alerts.

• Gzip Size Differences: Option to always show gzip size differences for routes, providing a more comprehensive view of the bundle’s compression efficiency.

• Empty Comment Handling: Allows for skipping comments if no changes are detected, reducing clutter in the PR discussions.

• Compatibility Considerations: Focuses solely on the direct bundle output from Next.js, ensuring a clear understanding of the bundle performance dynamics.