Coder powers secure, scalable development across key industries — automotive, finance, government, and technology — enabling faster builds, tighter compliance, and seamless AI adoption in enterprise-grade cloud environments.
Verify Docker is available in your workspace (see below).
Ensure the devcontainer.json file is valid JSON.
Check that the repository has been cloned correctly.
Verify the resource limits in your workspace are sufficient.
Docker not available
Dev containers require Docker, either via a running daemon (Docker-in-Docker) or
a mounted socket from the host. Your template determines which approach is used.
If using Docker-in-Docker, check that the daemon is running:
sudo service docker status
sudo service docker start # if not running
If using a mounted socket, verify the socket exists and is accessible:
ls -la /var/run/docker.sock
docker ps # test access
If you get permission errors, your user may need to be in the docker group.
Finding your dev container agent
Use coder show to list all agents in your workspace, including dev container
sub-agents:
coder show <workspace>
The agent name is derived from the workspace folder path. For details on how
names are generated, see Agent naming.
SSH connection issues
If coder ssh <workspace>.<agent> fails:
Verify the agent name using coder show <workspace>.
Check that the dev container is running:
docker ps
Check the workspace agent logs for container-related errors:
grep -i container /tmp/coder-agent.log
VS Code connection issues
VS Code connects to dev containers through the Coder extension. The extension
uses the sub-agent information to route connections through the parent workspace
agent to the dev container. If VS Code fails to connect:
Ensure you have the latest Coder VS Code extension.
Verify the dev container is running in the Coder dashboard.
Check the parent workspace agent is healthy.
Try restarting the dev container from the dashboard.
Dev container features not working
If features from your devcontainer.json aren't being applied:
Rebuild the container to ensure features are installed fresh.
Check the container build output for feature installation errors.
Use a pre-built image instead of building from a Dockerfile. This avoids
the image build step, though features and lifecycle scripts still run.
Minimize features. Each feature executes as a separate Docker layer
during the image build, which is typically the slowest part. Changing
devcontainer.json invalidates the layer cache, causing features to
reinstall on rebuild.
Check lifecycle scripts. Commands in postStartCommand run on every
container start. Commands in postCreateCommand run once per build, so
they execute again after each rebuild.
Getting more help
If you continue to experience issues:
Collect logs from /tmp/coder-agent.log (both workspace and container).