Hello everybody. I'm Dika and I am here to present a session dedicated to speed, intelligence, and the future of JavaScript. Imagine your favorite web application, whether it's a shopping site, a dashboard, or a chat tool, running twice as fast, handling twice as many users and never slowing down even under heavy load. Today we'll explore how intelligent optimization can make this a reality. Delivering up to 2.29 times throughput gains. Let's dive in the performance challenge in modern JavaScript. Modern JavaScript applications are like bustling cities full of unpredictable traffic changing conditions, and users with diverse needs. Consider an online retailer during a major sale event, thousand of users flood the site. Each interacting in different ways. The backend strains under the load and the front end struggles to keep up. Traditional optimization, relying on static configurations and manual tweaks often falls short In these dynamic environments, what's needed is a system that sends traffic adapts in real time and keeps everything running smoothly no matter what. That's the promise of intelligent optimization. Now, here is our journey today. First, we'll uncover the secrets of intelligent optimization, what makes it different, and why it matters. Next, we'll see how no JS backends can become self tuning engines handling API requests efficiently. Then we'll explore how frontend frameworks like React, view, and Angular can become smarter, faster, and more responsive. We look at real world deployments and results. Finally, I'll provide a practical guide to start using these techniques in your own projects. Ready? Let's go. Intelligent versus traditional optimization. Let's compare two words In the traditional approach, optimization is static. Configurations are set, code is steel, and the system is left to run. This is like driving a car with fixed gear, fine on a flat road, but inefficient on hills. In contrast, Intele intelligent optimization is dynamic. The system watches, learns and adapts like a car that shift gears automatically sensing the and adjusting for speed and efficiency. For example, streaming platforms adjust video quality based on bandwidth in JavaScript. Intelligent optimization means your app concerns when memory is tight, when requests spike. And when user needs instant feedback and it add in, it adapts in real time to maintain high performance. Now let's talk about no JS Black and intelligent resource allocation. No JS server often face searches in requests and fluctuating memory usage. Static resource allocation can lead to bottlenecks and slowdowns. Intelligent optimization acts like a master chef in a busy kitchen. Monitoring orders, reallocating staff, and tuning operations for peak efficiency. By using adaptive worker pools, connecting pools and event loop monitoring systems can automatically shift resources during high traffic, keeping latency low, and user experiences smooth. These techniques are widely adopted in industries where API throughput and reliability are critical, such as finance, retail, and logistics. Now what is React performance and adaptive component rendering? Let's move to the front end. React applications can suffer from unnecessary component rear renders leading to sluggish performance. Adaptive component rendering is like a smart director in a theater ensuring only the necessary actors are on the stage at the right time. By monitoring render cycles, memorizing components, and using lazy loading applications can prioritize critical UI updates and differ less important ones. This approach is commonly used in online learning platforms and interactive dashboards where reducing time to interactive is essential for user engagement. Let's see, what is a performance impact and talk about the results. These improvements are not just theoretical. They're measured in production environments. What are the results? 2.29 times throughput gains application handle more users faster. 40% bundle as reduction, smaller downloads, and quicker strats. 60% faster load times. Users see content very sooner. Three times API response improvement backends process requests more efficiently, for example. Let's take a global. Retailers have reported checkout times, dropping from several seconds to under two seconds. During peak sales events, these metrics translate directly to happier user, increased revenue, and reduced operational stress. The architecture, how big is the architecture? I would say it has a lightweight architecture with minimal overhead and maximum impact. So does intelligent optimization request massive infrastructure? No, not at all. Modern, lightweight architectures deliver substantial gains with minimal overhead. Think of it as a high performance bicycle light, agile, and fast without the bulk of a car. Even startups with modest cloud resources can support thousands of concurrent users by leveraging adaptive optimization, low CPU footprint, minimal memory consumption, and fast adaption. Make this approach practical for organization of all sizes. What is the frontend optimization across frameworks? Let's zoom out to the bigger picture. Whether you use react, view, or angular. Intelligent optimization brings benefits, react. It benefits from start, start smarter rendering and state management view it. S reactor system optimization and template enhancements, angular. IT gains from change detection and ahead of time compilation, for instance. SaaS dashboards built with view have reduced runtime by 30% using computer property caching. Automated performance tuning works across frameworks with each platform benefiting from tailored strategies. No matter your stack, there's a path to better performance, practical implementation strategies. How do you put these ideas into practice? It starts with runtime integration. Embedding optimization into your JavaScript runtime for automatic tuning. Adaptive resource allocation in node js allows system to shift resource dynamically respond to real world chain uses. Multi objective optimization means balancing speed, memory, and user experience simultaneously. These strategies are increasingly adopted in industries like logistics, where real time tracking and responsiveness are essential. So let's talk about the industry applications where optimization matters most. So where does it matter most in e-commerce? In e-commerce platforms? Fast page loads and smooth checkout drives. The sales. How about apps in real time? Apps, chat and dashboard needs instant response in progressive web apps. Offline capabilities and app-like performance demand, efficient resource management in serverless functions, cold start optimization and efficient execution are critical for cost and performance. For example, real-time chat applications often use adaptive optimization to keep message delivery under a hundred milliseconds, even during viral specs, ensuring a seamless user experience. Now let's talk code. TypeScript implementation approaches. TypeScript is a powerful tool for intelligent optimization types. Optimization means catching errors at compile time, improving documentation, and making code easier to maintain patterns like generic interfaces, type guards, decorators and union types help keep optimization code robust as application scale. Healthcare and financial applications often use tax script decorators to monitor performance. Catching bottleneck before reach production, and ensuring reliability. What are the common challenges and the solutions to those challenges? Let's discuss about that. Every journey has obstacles. Obstacles, bundle size, so large bundles, slow initial load. And the solution for that is code splitting, tree shaking, and dynamic imports with intelligent loading priorities. Next, we need to consider the runtime efficiency. So how the runtime efficiency affects the performance drops during peak usage. This needs adaptive resource allocation and intelligent caching. Now, door manipulation, overhead at CE updates calls junk. So the batch operations, efficient virtual DM and prioritizing visible content are the solution. API bottle x. Backend latency hurts a user experiences. So the request prioritization, intelligent caching, and productive prefetching is needed here. So let's take an example of a travel booking sites use productive prefetching to load flight data before users even search. This would cut times dramatically. So what are the key takeaways and next steps, what you should remember now? Start with the measurement. Know your baseline before you optimize. Apply adaptive strategies. Move beyond static configurations to runtime optimization. Leverage lightweight architectures. Smart algorithms deliver results efficiently without massive overhead test in production. Real world performance is what it matters. The future of JavaScript performance is intelligent adaptive optimization. Start today and watch your applications transfer. Thank you. I hope you inspired. You are inspired to explore intelligent optimization in your own projects. And with this, I would like to end the session.