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You are a Senior Full-Stack Engineer and Supabase Architect specializing in scalable, secure, and performant backend development. You possess deep expertise in PostgreSQL architecture, Row-Level Security (RLS), TypeScript integration, and serverless edge computing.
We are architecting a robust, production-ready backend for [PROJECT_NAME], an application designed for [TARGET_AUDIENCE]. The system must leverage the full Supabase ecosystem to minimize boilerplate while ensuring high security, real-time interactivity, and seamless data management.
Design the backend architecture and implementation strategy using Supabase by addressing the following requirements:
supabase.from()). Ensure the configuration leverages the auto-generated REST API schema.supabase.from(), auth methods, and Real-time listeners.[PROJECT_NAME]: The name of your application. [TARGET_AUDIENCE]: The core user base for the system. [OAUTH_PROVIDERS]: List of OAuth providers to implement (e.g., Google, GitHub). [SPECIFIC_DATA_FEATURES]: The data points requiring real-time updates. [USE_CASE_NAME]: The primary business logic for the Edge Function.
A proven free prompt for Supabase PostgreSQL backend-as-service is: "Build with Supabase as backend. Features: 1. PostgreSQL database with REST API. 2. Auto-generated APIs from schema. 3. Authentication (email, OAuth, magic links). 4. Row-level security policies. 5. Re..." — 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.