🧠 Vibecode Editor – AI-Powered Web IDE

Vibecode Editor is a blazing-fast, AI-integrated web IDE built entirely in the browser using Next.js App Router, WebContainers, Monaco Editor, and local LLMs via Ollama. It offsers real-time code execution, an AI-powered chat assistant, and support for multiple tech stacks — all wrapped in a stunning developer-first UI.

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🚀 Features

• 🔐 OAuth Login with NextAuth – Supports Google & GitHub login.
• 🎨 Modern UI – Built with TailwindCSS & ShadCN UI.
• 🌗 Dark/Light Mode – Seamlessly toggle between themes.
• 🧱 Project Templates – Choose from React, Next.js, Express, Hono, Vue, or Angular.
• 🗂️ Custom File Explorer – Create, rename, delete, and manage files/folders easily.
• 🖊️ Enhanced Monaco Editor – Syntax highlighting, formatting, keybindings, and AI autocomplete.
• 💡 AI Suggestions with Ollama – Local models give you code completion on Ctrl + Space or double Enter. Accept with Tab.
• ⚙️ WebContainers Integration – Instantly run frontend/backend apps right in the browser.
• 💻 Terminal with xterm.js – Fully interactive embedded terminal experience.
• 🤖 AI Chat Assistant – Share files with the AI and get help, refactors, or explanations.

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🧱 Tech Stack

Layer	Technology
Framework	Next.js 15 (App Router)
Styling	TailwindCSS, ShadCN UI
Language	TypeScript
Auth	NextAuth (Google + GitHub OAuth)
Editor	Monaco Editor
AI Suggestion	Ollama (LLMs running locally via Docker)
Runtime	WebContainers
Terminal	xterm.js
Database	MongoDB (via DATABASE_URL)

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🛠️ Getting Started

1. Clone the Repo

git clone https://github.com/your-username/vibecode-editor.git
cd vibecode-editor

2. Install Dependencies

npm install

3. Set Up Environment Variables

Create a .env.local file using the template:

cp .env.example .env.local

Then, fill in your credentials:

AUTH_SECRET=your_auth_secret
AUTH_GOOGLE_ID=your_google_client_id
AUTH_GOOGLE_SECRET=your_google_secret
AUTH_GITHUB_ID=your_github_client_id
AUTH_GITHUB_SECRET=your_github_secret
DATABASE_URL=your_mongodb_connection_string
NEXTAUTH_URL=http://localhost:3000

4. Start Local Ollama Model

Make sure Ollama and Docker are installed, then run:

ollama run codellama

Or use your preferred model that supports code generation.

5. Run the Development Server

npm run dev

Visit http://localhost:3000 in your browser.

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🎯 Keyboard Shortcuts

• Ctrl + Space or Double Enter: Trigger AI suggestions
• Tab: Accept AI suggestion
• /: Open Command Palette (if implemented)

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📄 License

This project is licensed under the MIT License.

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🙏 Acknowledgements

• Monaco Editor
• Ollama – for offline LLMs
• WebContainers
• xterm.js
• NextAuth.js