AI Engineering Playground

This repository contains my personal Python development environment setup for AI engineering tasks. Please refer to it as a starting point for your own projects, when you need a consistent and reproducible development environment across different machines.

🌟 Key Features

• 🐳 Containerized development environment for consistency across machines
• 🐍 Latest Python with essential AI/ML libraries pre-installed
• ⚙️ Customizable VS Code settings optimized for AI development
• 🔧 Easy to extend and personalize for your specific needs

🛠️ Setup

Prerequisites

• VS Code (or Cursor)
• Docker
• VS Code Remote

Quick Start

1. Clone this repository:

   git clone https://github.com/alexnodeland/ai-engineering-workspace.git
   cd ai-engineering-workspace

2. Open the folder in VS Code (or Cursor):

   code .

3. When prompted, click "Reopen in Container" or run the "Remote-Containers: Reopen in Container" command from the Command Palette (F1).

4. VS Code will build the devcontainer and install the Python packages specified in requirements.txt.

🎨 Customization

Tailor the environment to your needs:

• .devcontainer/devcontainer.json: Adjust container settings
• .vscode/settings.json: Modify VS Code configurations
• requirements.txt: Add or remove Python packages

💡 Why Use This Playground?

• Consistency: Ensure your AI projects work the same way across different machines
• Efficiency: Get started quickly with a pre-configured environment
• Flexibility: Easily modify the setup to match your project requirements
• Collaboration: Share your exact development environment with team members

🤝 Contributing

Found a way to improve this playground? Contributions are welcome! Feel free to fork, modify, and submit pull requests.

📝 License

This project is open-source and available under the MIT License.