Compiled CSS-in-JS: Crafting fanatic User Experience
Introducing Compiled CSS-in-JS, an open-source project hosted on GitHub and proudly presented by Atlassian Labs. The primary intention of this project is to revolutionize the design systems in front-end development by offering a more performance-optimized and user-friendly CSS-in-JS solution.
Project Overview:
The Compiled CSS-in-JS is an innovative project that serves to optimize design systems. Mainly, it provides a CSS-in-JS library that inlines styles at build time, ensuring the generation of optimal CSS. The world of web development, specifically developers, digital agencies and tech companies focusing on user interface and user experience design, is the primary audience for this project.
Project Features:
The Compiled CSS-in-JS provides a plethora of features such as atomic CSS extraction or non-emotion API for minimal bundle collision. What sets it apart is its capability of working with any CSS-in-JS solution, thus providing more flexible design options. For instance, one could leverage compiled to build an intricate web page, render it faster and enhance its performance by integrating other CSS-in-JS solutions.
Technology Stack:
Predominantly, the project uses JavaScript as a core programming language, supplemented by other technologies like TypeScript and Babel Plugin. The selection of these technologies enhances the project's success by providing a more streamlined and efficient development process ensuring optimized performance and exceptional user experiences. Notably, the project also employs Jest for testing purposes, ensuring quality and reliability.
Project Structure and Architecture:
The Compiled CSS-in-JS project is structured in a way that promotes scalability and ease of understanding. It employs a modular architecture where different components interact with one another seamlessly. The extraction setup is a highlight of the project's design - this structure boasts a plugin system that extracts atomic CSS at build time, thereby reducing runtime cost and promoting performance optimization.
