Starter template for fast and efficient prototyping using devcontainers + Podman/Docker.
AI-powered coding agents (Claude Code, Copilot, Cursor, etc.) are most effective when they can freely install dependencies, run commands, and execute code without risk to your host system. Devcontainers provide exactly that: a reproducible, isolated environment where an agent can operate with full autonomy.
This template gives you a ready-to-go devcontainer setup so you can start prototyping in seconds instead of spending time on environment configuration.
When working with AI coding agents, the development environment becomes critical infrastructure:
- Isolation = Confidence: Agents can
npm install,pip install, run tests, start servers, and modify system packages without touching your host. You stop second-guessing every tool approval. - Reproducibility: Every session starts from the same known state. No more "it worked on my machine" — the container is the machine, defined in code.
- Disposability: Something broke? Rebuild the container in seconds. Agents can experiment freely because nothing is permanent.
- Security boundary: Agentic workflows involve running LLM-generated code. A container provides a natural sandbox — if the agent does something unexpected, the blast radius is contained.
- Onboarding in one click: Clone the repo, open in VS Code or any devcontainer-compatible editor, and you're running. No setup docs, no dependency hell.
- Consistent tooling: The agent and the human developer see the exact same environment — same Node version, same CLI tools, same config. This eliminates an entire class of bugs.
- Podman or Docker
- VS Code with the Dev Containers extension
- Or any editor/CLI that supports the devcontainer spec
- Clone this repo (or use it as a template on GitHub)
- Open in VS Code
- When prompted, click "Reopen in Container"
- Start building
.
├── .devcontainer/
│ └── devcontainer.json # Container configuration
├── README.md
└── ... # Your project files
Edit .devcontainer/devcontainer.json to:
- Change the base image (Node, Python, Go, Rust, etc.)
- Add VS Code extensions that auto-install in the container
- Set environment variables
- Run post-create setup scripts
- Configure port forwarding
MIT