Getting started
New trial users follow a three-step onboarding flow:
- Complete a profile and required verification.
- Select a repository or open-source template.
- Watch the Kuberns AI agent prepare and deploy the application.
The dashboard currently presents a 7-day free trial with no card required. Users who are not in the trial onboarding state go directly to the dashboard.
Before you begin
Prepare:
- A Kuberns account.
- A GitHub repository, or a template from the marketplace.
- Required application secrets and external-service credentials.
- The branch you want to deploy.
Signing in
Kuberns is passwordless. Sign in with Google or GitHub.
- Open the Kuberns dashboard.
- Choose Google or GitHub.
- Complete the provider authorization.
Step 1: Complete your profile

Provide:
- Your name.
- Your role.
- What you plan to deploy.
- Acceptance of the terms and conditions.
- Phone and OTP verification when required for your region.
Step 2: Select a deployment source

Choose a repository or a template. Available regions and template options are loaded from Kuberns at runtime.
Deploy a repository
- Choose GitHub.
- Install or select the Kuberns GitHub App, and authorize repository access.
- Select the installation, repository, and branch.
- Select an available region.
- Start deployment.

Deploy an open-source template
- Choose Open-source template.
- Select a template.
- Enter the values requested by its configuration.
- Select the resource and region options shown by the dashboard.
- Deploy.
Templates can use predefined container configuration, managed resources, and environment-variable requirements. Templates marked for CI/CD can use a forked repository so later source changes can participate in the deployment workflow.
Step 3: Let the agent deploy
Kuberns creates the initial project, service, and environment, then starts a temporary AI agent. The page polls agent state and shows the live agent view after the session is running.
The agent can detect the framework, root directory, dependency files, ports, build commands, process commands, Dockerfiles, environment-variable names, and supporting resources.
When analysis completes, Kuberns synchronizes the detected configuration, terminates the temporary agent host, and starts the standard build and deployment flow.
Read AI agent lifecycle for status and failure behavior.
After deployment

Open the service environment to:
- Check build and service logs.
- Add or update environment variables.
- Review detected deployment settings.
- Inspect resources and metrics.
- Configure a domain after the account is eligible.