OPTIMIZING WEB PERFORMANCE WITH LAZY LOADING AND CODE SPLITTING

With the exponential growth of web applications, optimizing performance has become a crucial challenge for developers. Slow loading times and high resource consumption can negatively impact user experience and engagement. This paper explores the impact of lazy loading and code splitting. We present a comprehensive analysis of these techniques by implementing them in realworld web applications. Using Lighthouse performance metrics, First Contentful Paint (FCP), Largest Contentful Paint (LCP), and Time to Interactive (TTI), we measure the improvements in loading speed, interactivity, and overall responsiveness. We also discuss trade-offs, such as potential overhead from additional network requests and caching strategies to mitigate these effects. Our findings demonstrate that combining lazy loading and code splitting can achieve up to a 40% reduction in page load time, significantly enhancing the performance of modern web applications. This paper provides insights into best practices for implementation, case studies from high-traffic websites, and recommendations for optimizing frameworks such as React, Angular, and Vue.js. By leveraging these techniques, developers can create faster, more efficient and user-friendly web applications, leading to better SEO rankings, increased engagement, and reduced server costs.