QA Proof's AI-powered test generation automatically creates comprehensive test cases by analyzing your Figma designs and live web pages. This guide explains how to leverage AI to save time and improve test coverage.
How AI Test Generation Works
Our AI engine:
- Analyzes your Figma design structure and components
- Inspects your live web page's DOM and CSS
- Identifies interactive elements and user flows
- Generates test scenarios based on design intent
- Creates assertions for visual consistency
Benefits of AI Test Generation
Using AI to generate tests provides several advantages:
- Time Savings: Create hundreds of test cases in minutes, not hours
- Better Coverage: AI finds edge cases humans might miss
- Consistency: Tests follow best practices automatically
- Maintenance: Tests auto-update when designs change
- Learning: AI improves with each test run
Creating AI-Generated Tests
To generate tests with AI:
- Open your project in QA Proof
- Navigate to the "Tests" tab
- Click "Create with AI"
- Select the pages or components to test
- Choose your test scope (visual, functional, or both)
- Click "Generate Tests"
The AI will analyze your design and generate tests within 30-60 seconds.
Types of AI-Generated Tests
Visual Consistency Tests
These tests verify that your implementation matches the design:
- Color accuracy (hex values match Figma)
- Typography (font family, size, weight, line height)
- Spacing (margins, padding, gaps)
- Layout (element positioning and alignment)
- Border radius and shadows
Responsive Design Tests
AI automatically creates tests for different viewport sizes:
- Mobile (375px, 414px)
- Tablet (768px, 1024px)
- Desktop (1280px, 1920px)
- Custom breakpoints from your design
Component State Tests
Tests for interactive components and their states:
- Hover effects
- Active/focus states
- Disabled states
- Error states
- Loading states
Accessibility Tests
AI checks for common accessibility issues:
- Color contrast ratios (WCAG 2.1 compliance)
- Touch target sizes (minimum 44x44px)
- Focus indicators
- Alt text for images
- Semantic HTML structure
Customizing AI-Generated Tests
After generation, you can customize tests to fit your needs:
Edit Test Parameters
Click on any generated test to modify:
- Tolerance levels for visual differences
- Elements to include or exclude
- Priority (critical, high, medium, low)
- Tags for organization
Add Custom Assertions
Enhance AI tests with your own checks:
// Custom assertion example
expect(element).toHaveCSS('font-family', 'Inter, sans-serif');
expect(button).toHaveBackgroundColor('#00ADB5');
expect(container).toHaveMinHeight('320px'); Merge Similar Tests
The AI might create overlapping tests. You can merge them:
- Select multiple tests using checkboxes
- Click "Merge Selected"
- Review the merged test
- Save changes
AI Test Confidence Scores
Each AI-generated test includes a confidence score:
- High (90-100%): Very reliable, minimal review needed
- Medium (70-89%): Generally good, quick review recommended
- Low (Below 70%): Needs manual review before running
Focus your review time on tests with lower confidence scores.
Training the AI
QA Proof's AI learns from your feedback:
Mark False Positives
If a test flags an issue that isn't actually a problem:
- Click on the test result
- Select "Mark as False Positive"
- Optionally add a note explaining why
Approve/Reject Test Suggestions
When AI suggests new tests:
- ✅ Approve useful tests to encourage similar suggestions
- ❌ Reject irrelevant tests to improve future generations
Test Patterns
Create reusable patterns for AI to follow:
- Go to Project Settings → AI Configuration
- Click "Add Test Pattern"
- Define the pattern (e.g., "All buttons need hover states")
- AI will automatically apply this pattern to future tests
Best Practices
Start with Key Pages
Begin by generating tests for your most important pages:
- Homepage
- Product/service pages
- Checkout flow
- User dashboard
Review Before First Run
Always review AI-generated tests before running them on production:
- Check that test scenarios make sense
- Verify that sensitive data isn't exposed
- Ensure proper test isolation
Iterate and Refine
AI test generation improves over time:
- Run tests regularly and provide feedback
- Update test patterns as your design system evolves
- Archive outdated tests to keep your suite clean
Limitations
While powerful, AI test generation has some limitations:
- Cannot understand business logic without context
- May create redundant tests initially
- Requires design files to be properly organized
- Dynamic content may need manual assertions
Troubleshooting
No Tests Generated
If AI doesn't generate any tests:
- Ensure your Figma file is connected properly
- Check that the page URL is accessible
- Verify your design has interactive components
Too Many Tests Generated
If you get hundreds of tests:
- Use filters to focus on specific components
- Adjust AI settings to reduce test granularity
- Archive low-priority tests for later review
💡 Pro Tip: Combine AI-generated tests with test case templates for maximum efficiency.
What's Next?
After mastering AI test generation, explore:
- Organizing test suites for better management
- CI/CD integration for automated testing
- Visual regression testing to catch unintended changes