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Table of Contents
1. Use Tree Shaking rationally to reduce useless code
2. Code Splitting
3. Build cache and incremental construction
Home Web Front-end Front-end Q&A Frontend Build System Optimization

Frontend Build System Optimization

Jul 24, 2025 am 02:59 AM
java programming

The core of front-end construction system optimization is to improve construction speed and reduce output volume. 1. Use Tree Shaking reasonably, eliminate unreferenced code through static analysis, adopt ES Module, ensure that third-party libraries support this feature, enable compression plug-ins, and correctly configure side effects; 2. Optimize chunking strategies, including splitting by route, packaging third-party libraries separately, loading on demand, and implementing lazy loading in combination with dynamic import; 3. Use build cache and incremental construction, such as enabling persistent cache of Webpack or Vite, using esbuild or swc to speed up compilation, and enabling hot updates in watch mode, thereby accelerating the construction efficiency of the development stage. These measures are particularly important when the project scale is expanded and need to be adjusted according to the specific structure to give full play to their effectiveness.

Frontend Build System Optimization

The optimization of the front-end construction system actually mainly revolves around two core points: improving the construction speed and reducing the output volume. These two goals directly affect development efficiency and page loading performance, especially when the project becomes larger.

Frontend Build System Optimization

1. Use Tree Shaking rationally to reduce useless code

Tree shaking is a mechanism supported by modern packaging tools (such as Webpack, Rollup, Vite). It finds out the code that is not referenced through static analysis and removes it in the final output.

How to do it?

Frontend Build System Optimization
  • Use the import/export syntax of ES Module, not CommonJS.
  • Ensure that third-party libraries also support tree-shakable export methods.
  • Enable compression plugins such as TerserPlugin when building in production environments.
  • Pay attention to side effects configuration to avoid accidentally deleting useful code.

For a simple example: if you only introduce one function from a tool library, tree shaking ensures that only this function is packaged, not the entire library.


2. Code Splitting

Code chunking is a key means of controlling the size of output files, especially in large projects. Reasonably splitting the code allows users to see content faster than waiting for the entire app to load.

Frontend Build System Optimization

Common optimization points include:

  • Split by route: Each routing module is packaged separately.
  • Third-party libraries are split separately: for example, use splitChunks to package react and lodash libraries separately.
  • Loading on demand: combine dynamic import ( import() ) to achieve lazy loading of components or modules.

For example, in Webpack, it can be implemented by the following configuration:

 optimization: {
  splitChunks: {
    chunks: 'all',
    cacheGroups: {
      vendors: {
        test: /[\\/]node_modules[\\/]/,
        name: 'vendors',
        priority: -10,
      },
    },
  },
},

This can effectively reduce the size of the main bundle and improve the loading speed of the first screen.


3. Build cache and incremental construction

The code is frequently modified during the development stage, and it will be very slow if the full build is completed each time. Build cache and incremental builds can significantly speed up this process.

Suggested practices:

  • Enable persistent cache for Webpack or Vite (Webpack 5 supports filesystem cache).
  • Use esbuild or swc to improve the compilation speed of TypeScript/Babel.
  • Use the watch mode of the build tool for hot updates to avoid repeated initialization overhead.

For example, in Vite, the first startup may take several seconds, but subsequent changes to the response in almost milliseconds are achieved by an efficient caching mechanism.


Basically that's it. Although front-end construction optimization is not complicated, details are easily overlooked. Functions like tree shaking and code splitting may not be fully effective by default and need to be adjusted according to the project structure.

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