youtubeJanuary 14, 2026
Run Your AI Coding Agent in Containers - Complete Beginner's Guide
Dev containers provide isolated, reproducible development environments that let you run AI coding agents safely separated from your local machine, with instant portability between local Docker and GitHub Codespaces.
Key Takeaways
- Dev containers bundle your entire development environment (libraries, SDKs, runtimes) into a secure, self-contained container
- The same configuration works locally via Docker Desktop and in the cloud via GitHub Codespaces
- AI coding agents execute commands inside the container, creating a safe sandbox for experimentation
- VS Code maintains your personal settings and extensions while connecting to different containerized environments
Dev Container Workflow
flowchart LR
Config[devcontainer.json] --> Local{Run Where?}
Local -->|Local| Docker[Docker Desktop]
Local -->|Cloud| Codespaces[GitHub Codespaces]
Docker --> VSCode[VS Code Connected]
Codespaces --> Browser[VS Code in Browser]
VSCode --> Agent[AI Agent Executes
in Container]
Browser --> Agent
Getting Started
- Install prerequisites: Dev Containers extension + Docker Desktop
- Try a sample: Remote Explorer → Try a Dev Container Sample
- Add to existing project: Command palette → "Add Dev Container Configuration Files"
- Let Copilot configure it: Ask the agent to customize based on your project's dependencies
Configuration Structure
.devcontainer/
└── devcontainer.json # Image, extensions, ports, post-create commands
Key configuration options:
imageordockerfile: Base container environmentcustomizations.vscode.extensions: Extensions installed in containerforwardPorts: Ports exposed to local machinepostCreateCommand: Setup scripts to run after container creation
Code Snippets
Basic devcontainer.json
{
"name": "Node.js",
"image": "mcr.microsoft.com/devcontainers/javascript-node:22",
"forwardPorts": [3000, 9000],
"postCreateCommand": "npm install",
"customizations": {
"vscode": {
"extensions": ["dbaeumer.vscode-eslint"]
}
}
}
Why This Matters for AI Agents
When AI agents execute commands (builds, tests, file operations), everything happens inside the container. This provides:
- Safety: Agent can't accidentally modify your host system
- Reproducibility: Same environment across machines and team members
- Isolation: Multiple projects with conflicting dependencies don't interfere
Notable Quotes
"Wouldn't it be awesome if either when I'm coding or an agent is executing commands that everything is happening completely separated off from my machine, creating a safe environment for any type of work or experimentation?"
"Dev containers create that private secure development environment and all the dependencies that I want for complete customization."
Connections
- introducing-agent-skills-in-vs-code - Same author exploring another VS Code AI capability: portable instruction folders that transform agents into domain-specific experts