# Interaction to Next Paint Published articles for Interaction to Next Paint. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## The 2-Second Rule: How to make your website feel like magic in 2026 DevFeed: [The 2-Second Rule: How to make your website feel like magic in 2026]() Original publisher: [Read original article]() Author: Louise North Published: 2026-08-04T11:43:00Z Content type: article Language: en Sources: [Web Designer Depot]() Topics: [Web](), [Latency](), [browser](), [Workers](), [Compression](), [Artificial Intelligence](), [Edge]() Tags: [architecture](), [avif-images](), [browser](), [compression](), [core-web-vitals](), [developers](), [digital-hospitality](), [edge](), [edge-computing](), [frontend-development](), [guide](), [http3](), [inclusive-design](), [interaction-to-next-paint](), [javascript-optimization](), [mobile-optimization](), [page-speed-optimization](), [performance](), [predictive-ai](), [site-reliability](), [speed](), [technical-seo](), [user-experience](), [ux-design-2026](), [web-development](), [web-development-trends](), [web-performance](), [website-usability](), [workers](), [zero-latency-ux]() ### AI overview A guide to making websites feel faster and more responsive by focusing on interaction performance, Web Workers, AVIF images, and responsive image delivery. It presents speed as an important part of user experience in 2026. ### Source excerpt In 2026, a "pretty" website is no longer enough--if it doesn't feel instant, it's invisible. This guide reveals how the world's top developers are using predictive AI and "Edge" architecture to kill the loading bar for good. ## Rendering on the Web DevFeed: [Rendering on the Web]() Original publisher: [Read original article]() Author: Addy Osmani X GitHub Bluesky Jason Miller X GitHub Homepage Published: 2026-01-05T08:00:00Z Content type: article Language: en Sources: [web.dev: Articles]() Topics: [Server-side rendering](), [Web Development](), [HTML](), [JavaScript](), [Web](), [browser](), [Document Object Model (DOM)](), [Interaction to Next Paint]() Tags: [article](), [browser](), [developers](), [html](), [interaction-to-next-paint](), [javascript](), [performance](), [web](), [web-developers]() ### AI overview This article explains how web developers can choose where application logic and rendering should run. It defines server-side rendering, client-side rendering, prerendering, hydration, and rehydration, and discusses their tradeoffs using page-performance metrics such as TTFB, FCP, INP, and TBT. ### Source excerpt Recommendations for implementing logic and rendering in apps. ## Introducing Skia Graphite: Chrome's rasterization backend for the future DevFeed: [Introducing Skia Graphite: Chrome's rasterization backend for the future]() Original publisher: [Read original article]() Author: Chromium Blog (noreply@blogger.com) Published: 2025-07-08T17:46:00Z Content type: article Language: en Sources: [Chromium Blog]() Topics: [Chrome](), [GPU](), [Interaction to Next Paint](), [browser](), [OpenGL](), [shaders](), [Web](), [glsl]() Tags: [chrome](), [gpu](), [graphics](), [graphics-apis](), [interaction-to-next-paint](), [multithreading](), [none](), [performance](), [render](), [screen](), [shaders](), [the-fast-and-the-curious](), [vulkan](), [web]() ### AI overview The article introduces Skia Graphite, a new GPU rasterization backend for Chrome on Apple Silicon Macs. Graphite uses fewer code paths, supports modern graphics APIs such as Metal, Vulkan, and D3D12, and is multithreaded by default. It improved Motionmark 1.3 scores by almost 15% on a MacBook Pro M3 and improved several real-world performance metrics. ### Source excerpt Today's The Fast and the Curious post covers the launch of Skia's new rasterization backend, Graphite, in Chrome on Apple Silicon Macs. Graphite is instrumental in helping Chrome achieve exceptional scores on Motionmark 1.3 and is key to unlocking a ton of future improvements in Chrome Graphics. A brief history of Skia in Chrome In Chrome, Skia is used to render paint commands from Blink and the browser UI into pixels on your screen, a process called rasterization. Skia has powered Chrome Graphics since the very beginning. Skia eventually ran into performance issues as the web evolved and became more complex, which led Chrome and Skia to invest in a GPU accelerated rasterization backend called Ganesh. Over the years, Ganesh matured into a solid highly performant rasterization backend and GPU rasterization launched on all platforms in Chrome on top of GL (via ANGLE on Windows D3D9/11). However, Ganesh always had a GL-centric design with too many specialized code paths and the team was hitting a wall when trying to implement optimizations that took advantage of modern graphics APIs in a principled manner. This set the stage for the team to rethink GPU rasterization from the ground up in the form of a new rasterization backend, Graphite. Graphite was developed from the start to be principled by having fewer and more comprehensible code paths. This forward looking design helps take advantage of modern graphics APIs like Metal, Vulkan and D3D12 and paradigms like compute based path rasterization, and is multithreaded by default. Results With Graphite in Chrome, we increased our Motionmark 1.3 scores by almost 15% on a Macbook Pro M3. At the same time, we improved real world metrics like INP (interaction to next paint time), LCP (time to largest contentful paint), graphics smoothness (percent dropped frames), GPU process malloc memory usage, and others. This all means substantially smoother interactions, less stutter when scrolling, and less time waiting for sites to show ## Monitoring and optimizing website performance DevFeed: [Monitoring and optimizing website performance]() Original publisher: [Read original article]() Author: debugbear Published: 2024-11-11T00:00:00Z Content type: tutorial Language: en Sources: [MDN Blog]() Topics: [Website](), [Network](), [browser](), [Interaction to Next Paint](), [JavaScript]() Tags: [interaction-to-next-paint](), [monitoring](), [network](), [performance](), [web-performance]() ### AI overview This tutorial explains how to monitor and optimize website performance. It covers network request waterfalls, page-load and runtime performance metrics, common issues, resource handling, testing tools, and optimization techniques. ### Source excerpt Learn about reading network request waterfalls, identifying common network performance issues, and optimizing page rendering. ## Introducing Nuxt Scripts DevFeed: [Introducing Nuxt Scripts]() Original publisher: [Read original article]() Published: 2024-08-20T00:00:00Z Content type: article Language: en Sources: [The Nuxt Blog]() Topics: [Nuxt.js](), [Developer experience](), [Core Web Vitals](), [Security](), [Server-side rendering](), [Web]() Tags: [core-web-vitals](), [developer](), [developer-experience](), [interaction-to-next-paint](), [main-thread](), [nuxt](), [performance](), [privacy](), [release](), [security](), [ssr](), [third-party](), [vue](), [web]() ### AI overview Nuxt Scripts enters public beta as a Nuxt module for managing and optimizing third-party scripts. Developed with Google's Chrome Aurora team, it aims to improve performance, privacy, security, and developer experience while addressing script loading, SSR safety, hydration, and Core Web Vitals issues. ### Source excerpt Nuxt Scripts provides better performance, privacy, security, and developer experience for third-party scripts. ## Accelerating theblueground.com: Five Core Web Vitals improvements DevFeed: [Accelerating theblueground.com: Five Core Web Vitals improvements]() Original publisher: [Read original article]() Author: Dimitris Zotos Published: 2023-12-22T10:10:37Z Content type: article Language: en Sources: [Blueground Engineering blog]() Topics: [Core Web Vitals](), [Optimization](), [User Experience](), [Google Search](), [Mobile](), [Web]() Tags: [core-web-vitals](), [google-search](), [interaction-to-next-paint](), [mobile](), [optimization](), [performance](), [seo](), [user-experience](), [web]() ### AI overview A Blueground case study describes efforts to improve theblueground.com's Core Web Vitals, focusing on website loading performance and Largest Contentful Paint. The article explains the roles of LCP, FID, and CLS, notes Google's planned replacement of FID with Interaction to Next Paint, and reports an initial mobile LCP of 2.7-3 seconds alongside low impressions in Google Search Console. ### Source excerpt In the realm of modern hospitality, Blueground stands out by providing fully furnished apartments that redefine travel. However, beyond the sophistication of our spaces, a pivotal factor comes into play -- our website's load speed performance. Serving thousands of daily users requires a digital experience that matches the ## Screen response time. A critical metric for user experience DevFeed: [Screen response time. A critical metric for user experience]() Original publisher: [Read original article]() Author: Anjal Saneen Published: 2022-06-27T06:10:37Z Content type: tutorial Language: en Sources: [OkCredit - Medium]() Topics: [User Experience](), [Android](), [Mobile](), [Interaction to Next Paint](), [XML](), [Jetpack Compose](), [Parsing](), [IO]() Tags: [android](), [android-app-development](), [engineering](), [interaction-to-next-paint](), [jetpack-compose](), [mobile](), [mobile-app-development](), [okcredit](), [parsing](), [performance](), [user-experience]() ### AI overview This article explains screen response time as a responsiveness metric for Android applications. It describes how Android screens load, including XML layout parsing, I/O, view-tree population, and reflection, and contrasts Android vitals with web responsiveness metrics such as Interaction to Next Paint. ### Source excerpt A high-quality user experience is always a top priority at OkCredit. We aim to make the mobile app as fast as possible. To better understand performance impact, we measure various L1 and L2 metrics. Among them, a key metric is screen response time. The time it takes the user to reach the first frame of the screen after clicking for opening a screen. Screen response time is a core web metric for web pages. In addition, Google recently introduced a new metric for assessing full-page responsiveness on the web called Interaction to Next Paint. Android vitals are far behind in terms of measuring responsiveness metrics compared to the web. You can watch the state of responsiveness on the web here. Playstore vitals measure frozen frames and slow frames, but they don't tell the whole story about the responsiveness of the app. In order for your app to be responsive, you must derive multiple metrics yourself. We share our learnings and findings on-screen response time in this blog post. How the screens loads Let me explain briefly how a screen loads on Android before we move on to the metric. For optimal screen load, it's important that you understand all the operations that occur there. Please keep in mind the term Screen in Android terms as referring to a fragment or activity. We demonstrate the XML and jetpack compose individually below. XML We must first understand the principle of XML layout loading, If you dig deep into the Android source code of Activity.setContentView, each layout must go through inflation before it can pass the measure and be drawn. XML Layout load to draw Phases 1. Load and parse the XML file loadXmlResourceParser is the method responsible for loading an XML file. We wouldn't need to go into the implementation details of this method, we just need to know that it reads the XML file we wrote into memory, and performs some data parsing and encapsulation. Therefore, this is a method that requires I/O. As we know, I/O operations are typically more comput