/ai-engineering-workspace

🦾 Consistent and reproducible development environment for AI engineering tasks

MIT LicenseMIT

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

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.