Explanation

Answer Example

I would start by profiling the application using tools like Chrome DevTools or Lighthouse to identify specific bottlenecks such as large JavaScript bundles, excessive re-renders, or slow API responses. To address these, I would implement code splitting with Webpack or similar tools to load only necessary components. Lazy loading would be applied to images and modules that aren't immediately required. I'd leverage caching strategies with service workers or browser caching to reduce redundant network requests. For dynamic content, I'd implement efficient state management using libraries like Redux or Context API to minimize unnecessary re-renders. Additionally, optimizing critical rendering paths, such as preloading key resources and implementing server-side rendering (SSR) or static site generation (SSG), would significantly reduce load times. Finally, continuous monitoring and A/B testing would ensure these changes positively impact performance metrics, aiming for faster Time-to-Interactive (TTI) and reduced Largest Contentful Paint (LCP).