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Here is the refined, professional-grade prompt designed to elicit high-quality, architectural-level code and documentation from an LLM.
Act as a Senior Full-Stack Software Architect specializing in high-performance React applications and scalable frontend architectures. You are known for writing clean, modular, and accessible code that follows industry best practices (e.g., DRY, SOLID principles) and ensures optimal Core Web Vitals.
We are building [PROJECT_NAME], a high-concurrency social media platform. The primary objective is to develop a robust, fluid timeline component that mimics the performance of Twitter/X. The user experience must remain buttery smooth even when dealing with thousands of DOM nodes.
Design and implement a modular "Virtual Timeline" component. Please provide the implementation following these architectural steps:
Intersection Observer API to trigger paginated data fetching without UI layout shifts.Optimistic UI updates, ensuring the UI feels instantaneous.useMemo, useCallback, and memoized components appropriately.useInfiniteTimeline.ts, TimelineItem.tsx, VirtualList.tsx).A proven free prompt for Twitter clone timeline with infinite scroll is: "Build a high-performance social media timeline. Technical stack: 1. Next.js App Router for server-side initial load. 2. React-window or TanStack Virtual for virtualization. 3. Infinite scroll using In..." — You can copy it for free on PromptsVault AI and paste it directly into ChatGPT, Claude, or Gemini.
Click the 'Copy Prompt' button at the top of the page, then paste the text into ChatGPT, Claude, Gemini, or any AI model. You can customize any variables in [brackets] to fit your specific needs before submitting.
Yes — this WEB DEV AI prompt is 100% free on PromptsVault AI. No sign-up or payment required. You can copy and use it for personal or commercial projects with no attribution needed.
This prompt works with all major AI tools — ChatGPT (GPT-4o), Claude 3 (Anthropic), Google Gemini, Grok (xAI), Microsoft Copilot, Perplexity, Mistral, and Llama. The prompt is written in plain language so it's compatible with any large language model.