Why Dev Containers matter
Without a Dev Container, environments are inconsistent. Agents can’t reliably run your test suite if they don’t know how to set up the database. New team members spend hours configuring their machines. Bugs appear that “work on my machine.” A Dev Container solves this by codifying your environment:- Agents get a run loop: With a reproducible environment, agents can execute commands, run tests, observe results, and iterate. They can try something, see it fail, and try again - all in an environment they understand. This is what makes agents successful at completing complex, multi-step tasks autonomously.
- Instant onboarding: New team members start an environment and immediately have everything they need - the right Node version, the database running, dependencies installed.
- Parity across the team: Everyone works in the same environment. No more “it works on my machine.”
What you can define
A Dev Container can include:- Language runtimes: Node.js, Python, Go, Rust, Java, etc.
- Databases: PostgreSQL, MySQL, Redis, MongoDB
- Tools: Docker, kubectl, AWS CLI, Terraform
- Editor extensions: Linters, formatters, language servers
- Environment variables: API keys, configuration
- Startup tasks: Install dependencies, seed databases, start services
Create your first Dev Container
Create a.devcontainer/devcontainer.json file in your repository:
- Node.js 20 with npm
- Docker available inside the environment
- ESLint and Prettier extensions
- Dependencies installed automatically
Run tasks on startup
For more control over startup behavior, use Tasks & Services:Verify it works
Once your environment starts, verify the setup:Next steps
- Optimize startup times with prebuilds and image caching
- Dev Container reference for advanced configuration (multi-container setups, private images, elevated privileges)
- Teach agents your codebase so they understand your conventions