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

  1. Go to loveautomate.com and create an account
  2. Click New Project in the dashboard
  3. Name your project (e.g., "My Web App")

2. Connect Your Repository

  1. Navigate to Project Settings → Integrations
  2. Click Connect Repository
  3. Authorize with your Git provider
  4. 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

WorkflowTriggerBest For
PR Checkpull_requestPre-merge quality gates
Nightly Suiteschedule: "0 2 * * *"Full regression coverage
Deploy GuarddeploymentPost-deploy smoke tests
Monitoringschedule: "*/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