frontend-bundle-analysis-and-optimization

To reduce JavaScript bundle size in Next.js, you can apply code-splitting, tree-shaking, and dynamic imports. This skill provides structured analysis and configuration guidance to identify large dependencies and enforce performance budgets for smaller payloads.

You can use @next/bundle-analyzer to find large dependencies by running a bundle analysis on your Next.js project. This skill provides setup guidance to configure the analyzer, identify duplicates, and discover opportunities for code-splitting.

Yes, this bundle optimization guidance works with Turbopack as well as Webpack. It covers configuration and optimization strategies for both bundlers to help you reduce initial load sizes and improve caching in your Next.js application.

The best way to implement route-based code-splitting in Next.js is by using dynamic imports to lazy load components. This skill provides practical examples and checklists to configure splitChunks and define measurable targets for your initial load.

You can set performance budgets for your Next.js Webpack build by defining measurable size targets for initial load and total payload. This skill provides checklists to enforce these limits during development and production builds.

If dynamic imports are not reducing initial bundle size, you may need to adjust splitChunks configuration or ensure tree-shaking is properly applied. This skill helps analyze your bundle to verify lazy loading and identify remaining large dependencies.