astexplorer VS webpack

You can play with your code here, and visualise ASTs for the same.

Website

To understand this syntax, I recommend exploring AST Explorer. You will have a better view of how the AST of JavaScript works and how to correlate it with the Eslint syntaxy:

You can never mistake type_declaration with an identifier, otherwise the program will not work. Aside from that constraint, you are free to name them whatever you like, there is no one standard, and each parser has it own naming conventions, unless you are planning to use something like LLVM. If you are interested, you can see examples of naming in different language parsers in the AST Explorer.

The rule that I want to write will be called not-allows-underscore: the idea is to abolish the use of underscores when declaring variables or functions. It's a real dummy rule, but it should be enough to see in action the concepts that we have discussed earlier. The first thing that I would do is to go to AST Explorer, write down a code that declares variables and functions (both standard and arrows one) and take a look at what type of node is the one that encodes the identifier. Doing that, I found out that the node type of my interest is Identifier, what a surprise! 🤣. In particular, the structure of the node holds the string used as identifier in the name property.

All the information about the API, AST node names, AST Explorer, etc. you can read in the official documentation. I’m just going to show examples of how to automate the check-up of our created conventions.

AST Viewer

If you want to see how the AST of popular languages looks, I recommend the AST Explorer. It supports various languages, and you can view the complete AST and navigate through the nodes. If you want to go further, you can try to copy some logic from an existing parser and implement it in your own, such as calculating an expression according to precedence order, for example: 1 + 2 * 3 (which is 7, not 9).

https://astexplorer.net/ is a good resource/playground for understanding ASTs and transpilers.

There are various tools available that manage the size of bundled assets. We are going to use the example of a popular and widely used bundler named Webpack, and practically look at many of the optimization techniques it offers.

Homepage: https://webpack.js.org/

Click "Start Test." WebPageTest generates a comprehensive report with details about the loading process, including time to first byte (TTFB), page load time, and visual progress. ### Setting Benchmarks with Lighthouse Start with Lighthouse audits to maximize the performance of your React application. Evaluate Lighthouse's scores and suggestions with careful consideration. Next, set benchmarks that are in line with industry norms or customized to meet your unique performance goals. Lastly, pay close attention to the places in your application where it needs work. You can improve your React application's effectiveness by carefully following these procedures, which will guarantee that it satisfies the required performance requirements. ### Analyzing Performance Results with WebPageTest In order to fully evaluate your webpage's performance, launch WebPageTest with a variety of systems, simulating a variety of user scenarios. Examine the waterfall chart carefully to identify loading patterns and bottlenecks, which are essential for improving the user experience. To see the page's rendering process over time and do a thorough examination, use filmstrip views. To effectively assess performance, pay special attention to measures such as time to first byte (TTFB), start render time, and fully loaded time. Also, a better understanding of performance variances is made possible by comparing findings across various test designs, which helps make well-informed recommendations for improving webpage responsiveness and efficiency. ## Impact of third-party libraries on React app performance Third-party library integration can speed up development while improving functionality in our React application. It's crucial to consider the possible effects on performance, though. Because heavy or poorly optimized libraries might negatively impact the speed and usability of our application. ### Bundle Size Look at the distribution file sizes related to the library, and use tools such as Bundlephobia or Webpack Bundle Analyzer to fully evaluate their impact on your bundle size. This thorough analysis enables you to make well-informed decisions about whether to include the library, making sure that its contribution minimizes superfluous bulk in your application's codebase and is in line with your optimization goals. ### Network Requests Analyze how the third-party library affects network requests to maximize performance. Reduce the number of requests made overall by minimizing external dependencies. This will enhance the user experience and loading speeds. Select appropriate libraries, maximize asset delivery, and leverage code splitting to load components asynchronously. You may improve the effectiveness and responsiveness of your application and provide users with a better experience by cutting down on pointless network queries. ### Execution Time Examine the library's code for any possible performance problems or bottlenecks in order to analyze the runtime performance of the library. Look for places where the code may execute slowly or inefficiently. You may ensure smoother operation inside your application by identifying and addressing any areas of the library's implementation that may be impeding ideal performance by doing a comprehensive assessment. ### Code Splitting for Third-Party Libraries Implementing code splitting is an effective strategy to load third-party libraries only when they are required, reducing the initial page load time. Use dynamic imports to load the library lazily:

Thanks for the thorough answer!

I confess I wasn't thinking about a particular build tool. My recent experience has been with Vite, where I took a similar approach to what you describe, but haven't had to dig deep into bundle performance because that's not a bottleneck for our application. The last time I did deeper work on the subject was years ago with Webpack.

I thought Webpack at least did dead-code elimination before splitting things into chunks. If I'm reading this random GitHub issue[1] right (and the asker is also right), Webpack does partially behave as I expected, but the pre-chunking optimization pass occurs before things like constant expression evaluation.

[1] https://github.com/webpack/webpack/issues/16672

Webpack is a powerful and widely-used module bundler for JavaScript applications. It’s known for its flexibility and extensive plugin system, making it a popular tool in complex web development projects.

Thats all about Webpack Basic, there are lots of feature of webpack, You can check here: https://webpack.js.org/

Many web pages use CSS and JavaScript files to handle various features and styles. Each file, however, requires a separate HTTP request, which can slow down page loading. Concatenation comes into play here. It involves combining multiple CSS or JavaScript files into a single file. As a result, pages load faster, reducing the time spent requesting individual files. Gulp, Grunt, and Webpack are some of the tools that can assist you in speeding up the concatenation process. They enable seamless merging of many files during development, ensuring deployment readiness.

Once you build a simple Vite backend integration, try not to complicate Vite's configuration unless you absolutely must. Vite has become one of the most popular bundlers in the frontend space, but it wasn't the first and it certainly won't be the last. In my 7 years of building for the web, I've used Grunt, Gulp, Webpack, esbuild, and Parcel. Snowpack and Rome came-and-went before I ever had a chance to try them. Bun is vying for the spot of The New Hotness in bundling, Rome has been forked into Biome, and Vercel is building a Rust-based Webpack alternative.

Webpack is a module bundler, the main purpose of which is to bundle JavaScript files to make them usable in a browser.