Visual Studio Coding Tool
Prompt
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Voir ToutBuild ChatGPT-Like Web Interface
You are a professional full-stack developer AI with deep experience in building AI-integrated UIs, backend orchestration, and vector memory systems. I want you to build a **web-based ChatGPT-like interface** with integrated memory control, based on the following design and architecture: --- ## 🖼 1. Main Chat Interface - A clean, responsive chat UI similar to ChatGPT or Slack. - Chat history on the left, main chat window on the right. - Input box supports multiline input with Enter to send. - Scroll-to-bottom behavior when new messages appear. - Basic user features: clear chat, dark/light theme toggle. --- ## 🧠 2. Memory Review & Management Page - A separate tab/page named **Memory**. - List all memory entries (structured as paragraphs or key-value). - Each memory entry should be editable and deletable. - Allow manual addition of new memory items. - Include a "Sync to Chat" button to push selected memory entries into the current prompt context (to simulate persistent memory). --- ## 🔧 3. Backend Integration (Simulated Phase) - Use mock data (or local storage) to simulate memory retrieval, addition, and deletion. - Use a dummy GPT API function to simulate conversation response (e.g., echoing, or `setTimeout` delayed mock replies). - Organize code so the GPT logic and memory storage can easily be swapped with: - OpenAI API (e.g., GPT-4o) - SuperMemory MCP API (for real memory search & insert) --- ## 🔩 4. Planned Deployment Architecture (for design context) - Frontend will run locally in browser (React + TypeScript preferred). - Backend logic (calling GPT APIs, calling MCP memory server) will be written in Python Flask or FastAPI. - The memory server (SuperMemory MCP) will initially run on `localhost` for local testing. --- ## 🧱 5. Technical Stack Preference - **Frontend**: React + TypeScript (or Next.js), Tailwind CSS or similar. - **State management**: Context API or Zustand. - **Backend (mocked)**: Python Flask OR Express.js - **Memory simulation**: localStorage or in-memory object store --- ## 📁 6. Output Format Please generate the complete project structure, with code for at least: - `App.tsx` (main router and layout) - `Chat.tsx` (chat interface and message state) - `Memory.tsx` (memory editor and visualizer) - `api/gpt.ts` (mock GPT responder) - `api/memory.ts` (mock memory CRUD) - `styles/*` - Any `utils/*` needed - Use clean, well-separated components and modular architecture --- ## 🚀 Developer Notes - Assume future integration with GPT‑4o and SuperMemory MCP. - Design all API methods as abstract wrappers (`callGPT()`, `getMemory()`, `searchMemory()`) to enable later replacement. - Prioritize clean UX, modular logic, and flexibility.
Mobile-First IDE Features
A mobile-first IDE with all the functions and capabilities of a top level IDE
Workflow Builder App
Create a workflow builder app
Next-Gen AI Code Generator
I would like a clone of the next generation AI programming app that specializes in generating high quality react application code powered by open source large language models using an implementation guided best practice recommendations and deep-seek coder to help developers eliminate repetitive coding of tasks. Offering intelligent code generation component optimization and best practice recommendation gives the user the experience of the future of AI-driven development today.
Build To-Do App
create a liste to do app
Mr. Fanny App Guide
You are a world-class senior software engineer building a full-featured cross-platform application using web technologies. 🚀 App Name: Mr. Fanny 🔧 Concept: A dual-role service platform that connects customers with technicians for home services like plumbing, AC, electricity, etc. 🎯 Objective: Create a fully functional front-end prototype of a mobile-first web app using **HTML, CSS, and vanilla JavaScript** that works inside Android/iOS WebView or as a PWA. The app must simulate dynamic behavior using `localStorage`. 👤 Users: - **Customer** - **Technician** - **Admin (optional for bonus)** 📲 Core Features per Role: 👤 **Customer:** - Language selection (Arabic / English) — full RTL support. - Sign up / log in with phone or email. - Home screen: pick service category (with icons). - Submit a request with location + description. - Track request status: Pending, In Progress, Done. - View past service requests. 🛠️ **Technician:** - Sign up / log in (name, service type, area, contact, image). - Dashboard: - View new service requests. - Accept / Reject / Mark as Done. - Payment Panel: - Count completed jobs. - View 10% platform commission. - Simulate marking as paid. 🛡️ **Admin (optional advanced):** - Login with admin credentials. - View technician applications (approve / reject). - Monitor all service requests. - Generate basic reports (commissions, requests by type, etc). 🌐 **Languages:** - Arabic + English switchable at any time. - Auto RTL layout with CSS when Arabic is selected. - All labels/texts updated dynamically. 📱 **Design Requirements:** - Fully responsive for mobile. - Modern UI with service cards, tabs, and buttons. - Clear navigation (bottom bar or drawer). - Each role has a different layout/dashboard. 📦 **Project Structure:** - index.html (landing, login/signup page) - customer.html - technician.html - admin.html (optional) - /assets/icons/ - /css/styles.css - /js/lang.js, auth.js, dashboard.js 💾 **Data Handling:** - Use `localStorage` to store requests, users, statuses. - Simulate full app behavior without backend. 📘 **Documentation:** - Include a clear README with page flow and role behavior. - Include code comments to explain logic. - Optional: include `how-to-run.md` for beginners. 🏁 Final Output: A complete, zipped web application folder, ready to be deployed as a WebView mobile app or PWA. No external dependencies, just clean, well-structured vanilla JS code. Optional Bonus: If possible, generate a small walkthrough video or image set showing app usage across roles.
