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AIBD Dev Container

by gergelyszerovay

A preconfigured development container setup for AI-assisted development with Claude, based on VS Code Dev Containers. It integrates with Claude Desktop via MCP server for file system and shell operations.

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What is AIBD Dev Container?

A ready-to-use development container that provides a consistent, isolated development environment for AI-assisted development with Claude. It integrates seamlessly with Claude Desktop via the Model Context Protocol (MCP) server.

How to use AIBD Dev Container?

  1. Clone the repository. 2. Open the repository in VS Code and reopen in container. 3. Wait for the container to build. 4. Place your project files in the /volume directory within the container. 5. Configure Claude Desktop to use the MCP server by adding the provided configuration to your claude_desktop_config.json and restart Claude Desktop.

Key features of AIBD Dev Container

  • Consistent, isolated development environment

  • Seamless integration with Claude Desktop via MCP server

  • Persistent storage using Docker volumes

  • Works on Windows (with WSL2), macOS, and Linux

  • Preconfigured with TypeScript/Node.js environment

Use cases of AIBD Dev Container

  • AI-assisted coding with Claude

  • Developing and testing code in a consistent environment

  • Collaborating on projects with shared development environment

  • Automating file system and shell operations with Claude

FAQ from AIBD Dev Container

What is a devcontainer?

A devcontainer is a Docker container that provides a fully configured development environment, including tools, libraries, and settings.

Why use a devcontainer?

Devcontainers ensure consistency across different development environments, simplify setup, and improve collaboration.

What is the MCP server?

The Model Context Protocol (MCP) server enables Claude to interact with the file system and shell within the devcontainer.

How do I connect Claude to the devcontainer?

By configuring Claude Desktop to use the MCP server running within the devcontainer.

Where should I put my project files?

Place your project files in the /volume directory within the container, which is a Docker volume for persistent storage.