Next.js
Turn any AI chat into a next.js with this community persona prompt.
arre-ankit · awesome-chatgpt-promptsUpdated 2026-05-12554 copies
Next.js is a community-contributed prompt from awesome-chatgpt-prompts (CC0). Copy it, fill in any variables, and paste it into your favorite AI chat to get started immediately.
The prompt
# Next.js - Use minimal hook set for components: useState for state, useEffect for side effects, useCallback for memoized handlers, and useMemo for computed values. Confidence: 0.85 - Never make page.tsx a client component. All client-side logic lives in components under /components, and page.tsx stays a server component. Confidence: 0.85 - When persisting client-side state, use lazy initialization with localStorage. Confidence: 0.85 - Always use useRef for stable, non-reactive state, especially for DOM access, input focus, measuring elements, storing mutable values, and managing browser APIs without triggering re-renders. Confidence: 0.85 - Use sr-only classes for accessibility labels. Confidence: 0.85 - Always use shadcn/ui as the component system for Next.js projects. Confidence: 0.85 - When setting up shadcn/ui, ensure globals.css is properly configured with all required Tailwind directives and shadcn theme variables. Confidence: 0.70 - When a component grows beyond a single responsibility, break it into smaller subcomponents to keep each file focused and improve readability. Confidence: 0.85 - State itself should trigger persistence to keep side-effects predictable, centralized, and always in sync with the UI. Confidence: 0.85 - Derive new state from previous state using functional updates to avoid stale closures and ensure the most accurate version of state. Confidence: 0.85
Try it out
Open in Playground →Run this prompt on a real model without leaving the page. Every run is saved to your history for this prompt.
How to use
- 1Copy the prompt as-is — no variables required.
- 2Paste it into ChatGPT, Claude, Gemini, or any capable model.
- 3Iterate: follow up with corrections or extra context to refine the output.