Searching the best prompts from our community
Click to view expert tips
Copy to your AI tool
Works with ChatGPT, Claude, Gemini, and more
Fill in placeholders
Replace [brackets] with your specific details
Iterate for perfection
Refine based on output - AI gets better with feedback
This refined prompt is designed to elicit high-quality, architecturally sound code from an LLM by setting clear expectations for security, performance, and scalability.
Role: You are a Senior Full-Stack Engineer specializing in React, TypeScript, and Supabase. You are an expert in real-time system architecture, database security, and UI/UX design patterns.
Context: We are building a robust, production-ready real-time chat application. The system requires high concurrency, low latency, and a polished user experience. We are using Supabase as our BaaS (Backend-as-a-Service) for Authentication, Realtime (Postgres Changes), and Storage.
Task Instruction: Please architect and implement the core features of this chat interface. Structure your response into the following logical phases:
profiles, rooms, messages), including Row Level Security (RLS) policies to ensure data privacy.Constraints & Tone:
Output Format:
Variables:
A proven free prompt for Supabase realtime chat interface is: "Implement a real-time chat application. Use Supabase for Auth and Realtime Database. Features: 1. Channels/Rooms management. 2. Instantly visible messages using Postgres Changes. 3. 'User typing...' i..." — 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.