Quick Start
Get started with DebuggAI in under 10 minutes. This guide walks you through account setup, project creation, and running your first AI-powered test.
1. Sign Up
Create your account at app.debugg.ai.
What you will see:
- Sign up form with email/password or OAuth options (Google, GitHub)
- Email verification step (check your inbox)
Expected outcome: You are logged in and redirected to the onboarding wizard.
2. Complete Onboarding Wizard
The onboarding wizard configures your account preferences and workspace settings.
Steps:
- Company/Team Setup - Enter your organization name and invite team members (optional)
- Preferences - Select your primary framework (Next.js, React, Django, etc.)
- Notification Settings - Configure email and Slack notifications
What you will see:
- Multi-step form with progress indicator
- Skip options for non-essential steps
- Summary screen before completion
Expected outcome: Your workspace is configured and you reach the main dashboard.
3. Create Your First Project
Projects organize your tests and connect to your codebase.
From the dashboard:
- Click New Project
- Enter a project name
- Select your framework from the dropdown
- Choose one of:
- Link Repository - Connect to GitHub (recommended)
- Standalone Project - Create without repository connection
What you will see:
- Project creation modal with name and framework fields
- Repository selection dropdown (if linking GitHub)
- Project settings page after creation
Expected outcome: Your project appears in the dashboard sidebar, ready for configuration.
4. Connect GitHub (Optional but Recommended)
GitHub integration enables automated testing on pull requests.
To connect:
- Navigate to Settings (gear icon in sidebar)
- Select GitHub Integration
- Click Connect GitHub
- Authorize the DebuggAI GitHub App
- Select which repositories to grant access
What you will see:
- GitHub OAuth authorization screen
- Repository selection list
- Connection status confirmation
After connecting:
- Return to your project
- Go to the GitHub tab
- Select the linked repository
- Enable PR triggers (on open, on new commits)
Expected outcome: Your repository is linked and tests will run automatically on pull requests.
5. Create Your First Test
Write tests using natural language descriptions.
From your project page:
- Navigate to the Tests tab
- Click New Test
- Enter a test description in plain English:
Test user can log in with valid credentials - Configure test settings (optional):
- Target URL or route
- Browser viewport
- Environment variables
Writing effective test descriptions:
Good: "Test user registration flow completes successfully"
Good: "Verify shopping cart updates when adding products"
Avoid: "Test the app" (too vague)
What you will see:
- Test creation form with description field
- Optional configuration expandable sections
- Save and Run buttons
Expected outcome: Your test is saved and appears in the test list.
6. Run and View Results
Execute your test and analyze the results.
To run a test:
- Select your test from the list
- Click Run Test
- Watch the execution in real-time
What you will see during execution:
- Live status updates (queued, building, running)
- Build logs for your application
- Browser actions as they occur
In the results viewer:
- Pass/Fail status with detailed breakdown
- Screenshots captured at each step
- Video recording of the full test run
- Execution log showing AI decisions and actions
- Performance metrics (load times, element discovery)
Interpreting results:
- Green checkmarks indicate successful steps
- Red indicators show failures with explanations
- Screenshots reveal exactly what the AI "saw"
- Logs explain the reasoning behind each action
Expected outcome: You understand whether your test passed, and if not, why it failed.
What's Next?
Recommended next steps:
- Configure environment secrets - Add database URLs and API keys for your tests
- Set up VS Code extension - Run tests directly from your editor
- Configure PR triggers - Automate testing on every pull request
- Invite team members - Collaborate on tests and review results
Choose your workflow:
| Workflow | Best For | Setup Time |
|---|---|---|
| GitHub Integration | Automated PR testing | 5 minutes |
| VS Code Extension | Local development testing | 2 minutes |
| MCP Server | Claude Desktop integration | 3 minutes |
| Debugg CLI | CI/CD pipelines | 5 minutes |
Troubleshooting
Account issues:
- Check spam folder for verification email
- Try password reset if login fails
- Contact support@debugg.ai for access issues
Project not appearing:
- Refresh the dashboard
- Check webhook delivery in GitHub settings
- Verify DebuggAI app has repository access
Tests not running:
- Ensure environment secrets are configured
- Check build logs for startup errors
- Verify your app builds successfully locally