🚀 create-jerry (JerrIt CLI)

A lightning-fast CLI tool to scaffold production-ready Express backend projects with MongoDB or MySQL, plugin-based architecture, and optional AI module support.

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✨ Overview

create-jerry is a backend scaffolding CLI inspired by tools like Vite and Create React App.

It generates a structured Express.js backend with:

• MongoDB OR MySQL support
• JavaScript OR TypeScript support
• Optional AI module (OpenAI integration)
• Plugin-based architecture (extensible design)
• Clean modular folder structure

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⚡ Features

• 🎯 Interactive CLI prompts (Inquirer-based)
• 🧠 Optional AI module (OpenAI integration)
• 🗄️ Database selection (MongoDB / MySQL)
• 🧾 JavaScript & TypeScript support
• 🔌 Plugin-based architecture system
• 📁 Production-ready folder structure
• ⚙️ Auto dependency injection in package.json
• 🚀 Fully working Express server setup

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🚀 Quick Start

npx create-jerry

Then follow prompts:

1. Project name
2. Database (MongoDB / MySQL)
3. Language (JavaScript / TypeScript)
4. AI module (Yes / No)

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📦 What Gets Generated

Project Structure

your-project/
├── src/
│   ├── config/
│   │   ├── db.js / db.ts
│   │   └── index.js
│   │
│   ├── modules/
│   │   ├── user/
│   │   └── ai/ (optional)
│   │
│   ├── routes/
│   │   └── index.js
│   │
│   ├── middlewares/
│   │   └── error.middleware.js
│   │
│   ├── utils/
│   │   └── asyncHandler.js
│   │
│   ├── app.js
│   └── server.js
│
├── .env
├── package.json
└── tsconfig.json (if TypeScript)

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🧠 Architecture

This CLI uses a plugin-based generator system:

Supported Plugins

• 🟢 MongoDB Plugin
• 🟡 MySQL Plugin
• 🤖 AI Plugin (OpenAI)

Each Plugin Handles:

• Module generation (if required)
• Dependency injection
• Route injection
• Setup logic execution

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🔌 Example CLI Flow

✔ Project name? my-app
✔ Select Database MongoDB
✔ Select Language Typescript
✔ Add AI module? Yes

Output:

• MongoDB configured project
• AI module added (optional)
• Routes auto-injected
• Dependencies installed dynamically

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🧰 Available Scripts (Generated Project)

npm run dev      # Development mode
npm start        # Production mode
npm run build    # TypeScript build (if TS)

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🧠 AI Module (Optional)

When enabled:

• /ai/chat endpoint is created
• OpenAI SDK installed
• Controller → Service → Provider architecture
• GPT-powered backend endpoint ready to use

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🗄️ Database Support

MongoDB

• Mongoose integration
• Predefined User model + CRUD
• Auto connection setup

MySQL

• mysql2 connection pool
• Prebuilt SQL queries
• Ready-to-use CRUD layer

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🔌 Plugin System

Plugins follow this structure:

{
  name: "plugin-name",
  setup(),
  inject,
  dependencies
}

Benefits:

• Extensible architecture
• Clean separation of concerns
• Easy future expansion (auth, redis, payments, etc.)

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📚 Tech Stack

• Node.js
• Express.js
• Inquirer.js
• Chalk
• Nanospinner
• OpenAI SDK (optional)
• Mongoose / MySQL2

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🎯 Why create-jerry?

Because backend setup is repetitive:

• Folder structure setup ❌
• Database configuration ❌
• Boilerplate code ❌

Now:

npx create-jerry

Done in seconds ⚡

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🛠️ Future Plans

• 🟦 Typescript Migration
• 🔐 Authentication plugin (JWT / OAuth)
• ⚡ Redis caching plugin
• 📦 Docker support
• 🧪 Testing setup (Jest)
• ☁️ Deployment presets

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👨‍💻 Author

Tanmay Khanna

• GitHub: @TomLucasakaTGeek
• Project: JerrIt CLI

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⭐ Support

If this helped you:

• ⭐ Star the repo
• 🔁 Share with developers
• 🧩 Contribute plugins

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📄 License

MIT License

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