Quick Start
Get your first AI-driven QA workflow running in under 10 minutes.
This guide walks you through setting up your first LoveAutomate workflow from scratch.
1. Sign Up and Create a Project
- Go to loveautomate.com and create an account
- Click New Project in the dashboard
- Name your project (e.g., "My Web App")
2. Connect Your Repository
- Navigate to Project Settings → Integrations
- Click Connect Repository
- Authorize with your Git provider
- Select the repository to monitor
3. Configure Your First Workflow
Create a workflow that runs on every pull request:
name: PR Quality Check trigger: pull_request agent: mode: adaptive focus: changed_files depth: shallow reporting: github_status: true pr_comment: true
4. Push and Watch
Open a pull request in your connected repository. You'll see:
- LoveAutomate analyzing the changed files
- AI agents generating test scenarios for the changes
- Test results posted as PR status checks and comments
- Quality signals highlighting potential regressions
5. Review Results
In your LoveAutomate dashboard:
- Test Results — Pass/fail status with details
- Quality Score — Overall health of the changes
- Suggestions — AI-generated recommendations for improvement
Common Workflows
| Workflow | Trigger | Best For |
|---|---|---|
| PR Check | pull_request | Pre-merge quality gates |
| Nightly Suite | schedule: "0 2 * * *" | Full regression coverage |
| Deploy Guard | deployment | Post-deploy smoke tests |
| Monitoring | schedule: "*/30 * * * *" | Production health checks |
Troubleshooting
Agent Not Running?
- Verify your API key is correctly set in CI secrets
- Check that the repository connection is active in Settings
- Ensure the workflow trigger matches your event type
No Test Results?
- The first run takes longer as agents learn your application structure
- Check the Logs tab in your project dashboard for details
Next Steps
- Core Concepts — Understand how agents work
- Workflow Configuration — Advanced workflow options