Vibe Testing: AI generates tests from screenshots, code & apps

By the Flasqo team · August 5, 2026

TL;DR

Vibe Testing uses GPT-4o Vision to analyze your app — upload screenshots, drop an APK, paste source code, or let Flasqo crawl your web app. AI understands UI flow, reads code structure, and auto-generates realistic test scenarios. No test writing required. Try Vibe Testing free.

What is Vibe Testing?

Vibe Testing is AI-powered exploratory testing that generates test scenarios from real artifacts instead of manual specifications. Instead of writing test cases by hand, you provide:

Flasqo's AI understands context and generates test scenarios that match real user workflows.

Why Vibe Testing matters

Traditional testing requires manually writing test cases. Problems with this:

Vibe Testing solves this by:

How Vibe Testing works

🌐

Web Crawler

Enter URL → Playwright crawls pages → GPT-4o Vision analyzes UI

📸

Screenshot Upload

Upload PNG/JPG → AI identifies buttons, forms, navigation flow

📦

Source Code (ZIP)

Upload .zip → AI parses routes, functions, API endpoints

📱

APK Analysis

Upload .apk → AI extracts manifest, activities, intents

4 ways to use Vibe Testing in Flasqo

Method 1: Web app crawler (recommended for live apps)

Step 1: Go to Testing Types → Vibe Testing → Launch

Step 2: Select "Crawl Web App"

Step 3: Enter URL: https://yourapp.com

Step 4: Click "Start Crawl"
Flasqo uses Playwright to:
• Navigate through pages
• Click buttons and links
• Fill sample form data
• Capture screenshots of each page

Step 5: AI analysis (30-60 seconds)
GPT-4o Vision analyzes screenshots and generates:
• User flow scenarios (signup → login → dashboard)
• Form validation tests (empty fields, invalid emails)
• Navigation tests (broken links, 404 pages)
• Visual checks (missing images, overlapping text)

Step 6: Review & run generated tests
Flasqo shows test scenarios in plain English:
• "User signup with valid email should succeed"
• "Login with wrong password should show error"
• "Empty form submission should display validation"
Click "Run Tests" to execute

Method 2: Screenshot upload (best for design mockups)

Step 1: Select "Upload Screenshots"

Step 2: Drag & drop PNG/JPG files
• Upload multiple screenshots (login page, dashboard, checkout, etc.)
• Supports Figma exports, mobile screenshots, desktop screens

Step 3: AI analyzes UI elements
GPT-4o Vision identifies:
• Buttons ("Sign In", "Submit", "Cancel")
• Input fields (email, password, search)
• Links and navigation menus
• Error states and validation messages

Step 4: Generated test scenarios
Based on visual analysis, AI creates:
• Click tests for all buttons
• Form fill scenarios
• Navigation flow tests
• Accessibility checks (missing labels, low contrast)

Method 3: Source code upload (for API/backend testing)

Step 1: Select "Upload Source Code"

Step 2: Upload ZIP of your codebase
Supports: Node.js, Python, Java, Go, Ruby, PHP

Step 3: AI parses code structure
Flasqo analyzes:
• API routes (app.get('/users/:id'))
• Function signatures and parameters
• Database models and schemas
• Auth middleware and guards

Step 4: Auto-generated API tests
AI creates:
• Endpoint tests for all routes
• Parameter validation tests
• Auth/permission tests
• Error handling tests (404, 500)

Method 4: APK upload (Android app testing)

Step 1: Select "Upload APK"

Step 2: Upload .apk file

Step 3: AI extracts app structure
Flasqo decompiles and analyzes:
• AndroidManifest.xml (activities, permissions)
• Intent filters (deep links, URL schemes)
• Network endpoints (API URLs in code)
• Third-party SDKs (analytics, crash reporting)

Step 4: Generated mobile test scenarios
AI creates:
• Activity launch tests
• Permission request flows
• Deep link tests
• Network security config checks

Example: E-commerce app Vibe Testing

Input: Upload 3 screenshots (product page, cart, checkout)

AI-Generated Test Scenarios:

  1. Product page:
    • Click "Add to Cart" → Verify cart count increases
    • Change quantity → Price updates correctly
    • Select out-of-stock variant → "Add to Cart" disabled
  2. Cart page:
    • Click "Remove" → Item disappears from cart
    • Update quantity to 0 → Item removed
    • Apply invalid coupon → Error message shown
  3. Checkout:
    • Submit with empty email → Validation error
    • Enter invalid card number → Payment fails gracefully
    • Complete purchase → Order confirmation displayed

All generated in 45 seconds from just 3 screenshots. No manual test writing.

What AI detects from screenshots

Best practices

1. Upload key user flows

Don't upload random screenshots. Focus on critical workflows: signup, login, checkout, payment.

2. Include error states

Upload screenshots showing validation errors, network failures, empty states. AI learns what to test.

3. Combine with functional testing

Vibe Testing generates scenarios. Use Functional Testing to validate API responses and data correctness.

4. Re-run after UI changes

When you redesign a page, re-upload screenshots to regenerate tests. AI adapts to new UI instantly.

Vibe Testing vs traditional test writing

Aspect Manual Test Writing Vibe Testing
Time to create tests Hours to days 30-60 seconds
Requires product knowledge Yes (deep understanding needed) No (AI infers from artifacts)
Adapts to UI changes Manual rewrite needed Re-upload → new tests instantly
Edge case coverage Depends on tester experience AI considers uncommon scenarios
Pre-launch testing Requires functional app Works with mockups/screenshots

When to use Vibe Testing

Use Vibe Testing when:

Use traditional testing when:

Generate tests from screenshots in seconds

Upload UI, source code, or APK. AI analyzes and creates test scenarios instantly. Zero test writing.

Try Vibe Testing Free

Frequently asked questions

What is vibe testing?

Vibe testing generates test cases from artefacts rather than from written specifications — a screenshot of a screen, a source file, a mobile app package or a crawled web app. A vision-capable model reads the artefact, infers the API calls behind it and produces matching test scenarios.

What can you upload?

Screenshots and UI mockups, source code, Android APK packages, or a URL for Flasqo to crawl. Each gives the model a different signal: screenshots reveal user-facing flows, source reveals request construction, and crawling reveals the network calls the app actually makes.

How accurate are the generated tests?

Treat them as a strong first draft rather than a finished suite. Generation reliably produces the right endpoints, methods and obvious edge cases; business rules specific to your domain still need review. Every generated case is editable before it runs.

Related reading

API Testing: The Complete Guide Full Send: Zero-Config Complete API Scan REST API Testing: How to Test REST Endpoints API Test Automation: A Suite That Runs Itself API Security Testing: The OWASP Top 10 Guide API Testing in CI/CD: Gate Every Deploy OpenAPI & Swagger Testing: Generate Tests From Your Spec Flasqo vs Katalon Flasqo vs JMeter Flasqo vs k6 Flasqo vs Apidog