Generate Tests with AI

The AI Assistant can generate complete, detailed test cases in seconds. Just describe what you want to test, and the AI creates a fully-formed test case with steps, expected results, and tags.

Quick Start

Open the AI Chat

Press Cmd + K (Mac) or Ctrl + K (Windows/Linux)

Describe What to Test

Type your request in plain English:

Create a test for user login with valid credentials

Review the Generated Test

The AI will create a complete test case with:

Clear title
Test steps with expected results
Preconditions
Tags
Priority

Save or Refine

Click “Save” to add it to your test suite
Or ask the AI to modify it: “Add a step for two-factor authentication”

Generation Patterns

Single Test
Multiple Tests
From Requirements
From Documentation

Create one specific test:

Create a test for password reset

Generate a test case for adding items to cart

Write a test for user profile update

The AI will generate a single, focused test case.

Create a suite of related tests:

Generate smoke tests for the checkout flow

Create regression tests for user authentication

Generate API tests for the products endpoint

The AI will create multiple test cases covering different scenarios.

Generate from user stories or requirements:

Create tests for this user story:

As a user, I want to filter products by price range
so that I can find items within my budget.

The AI will analyze the requirement and generate appropriate tests.

Generate from API docs or specifications:

Generate API tests from these docs:

POST /api/users
Creates a new user account

Request Body:
- email (required): string
- password (required): string (min 8 chars)
- name (optional): string

Response: 201 Created

The AI will create tests covering all scenarios and edge cases.

What Gets Generated

When you ask the AI to create a test, it automatically generates:

Test Metadata

Unique identifier (TC-XXXX)
Clear, descriptive title
Appropriate priority (P0-P4)
Relevant tags
Test type (manual/automated)

Test Content

Preconditions
Detailed test steps
Expected results for each step
Overall pass/fail criteria
Test data (when applicable)

Best Practices

Follows naming conventions
Includes edge cases
Uses clear language
Atomic test design

Context Awareness

Matches your product type
Uses existing tags
Follows team patterns
Considers related tests

Example Prompts

E-commerce Tests

Generate smoke tests for e-commerce checkout

AI generates:

Add item to cart
Update cart quantities
Apply discount code
Select shipping method
Enter payment information
Complete purchase
Receive confirmation email

API Tests

Create API tests for user CRUD operations

AI generates:

Create user (valid data)
Create user (invalid email)
Create user (duplicate email)
Get user by ID
Update user information
Delete user
Verify deletion

Mobile App Tests

Generate tests for mobile app onboarding

AI generates:

First launch experience
Permission requests
Account creation
Profile setup
Feature introduction screens
Skip onboarding flow
Complete onboarding

Security Tests

Create security tests for login

AI generates:

SQL injection attempts
XSS attack prevention
Brute force protection
Session fixation prevention
CSRF token validation
Password complexity enforcement
Account lockout after failures

Refining Generated Tests

You can iterate with the AI to refine tests:

Ask for Modifications

Add a step to verify email notification is sent

Make this test cover mobile view as well

Split this into separate positive and negative tests

Request Different Formats

Make this more detailed with specific test data

Simplify this test to just the happy path

Convert this to an API test

Add Context

This is for a healthcare app, add HIPAA compliance checks

We use Stripe for payments, update the payment steps

Include accessibility testing requirements

Advanced Techniques

Batch Generation
From Screenshots
Test Variations
Edge Cases

Generate many tests at once:

Create a complete test suite for the shopping cart feature including:
- Adding items
- Updating quantities
- Removing items
- Cart persistence
- Checkout initiation

The AI will create 10-15 related tests covering all aspects.

Upload UI screenshots:

Generate tests for this login screen [attach screenshot]

The AI analyzes the UI and creates appropriate tests.

Generate test variations:

Create the same login test but for:
- Desktop web
- Mobile web
- iOS app
- Android app

The AI creates platform-specific test cases.

Focus on edge cases:

What edge cases should I test for file upload?

The AI suggests and can generate tests for:

Empty file
File too large
Invalid file type
Special characters in filename
Network interruption
Concurrent uploads

Quality Assurance

Review AI Output: Always review generated tests to ensure they match your specific requirements and context.

Provide Feedback: Tell the AI what to adjust: “Make step 3 more specific” or “Add assertions for response time”

Test Data: Be cautious with sensitive data. The AI generates sample data, but you should use appropriate test data for your environment.

Best Practices

Be Specific

Instead of “create a login test,” try “create a test for login with OAuth via Google”

Provide Context

Mention the feature, platform, or user story: “Create a test for the new multi-factor authentication feature on mobile”

Iterate

Refine the test through conversation: “Add error handling scenarios” or “Include performance assertions”

Save Templates

Once you get a good test format, save it as a template for consistency

What’s Next?

Search Your Tests

Find tests using natural language

Ask Questions

Get insights about your test suite

Organize Tests

Use folders and tags effectively

Best Practices

Advanced AI tips and techniques

​Quick Start

​Generation Patterns

​What Gets Generated

Test Metadata

Test Content

Best Practices

Context Awareness

​Example Prompts

​Refining Generated Tests

​Advanced Techniques

​Quality Assurance

​Best Practices

Be Specific

Provide Context

Iterate

Save Templates

​What’s Next?

Search Your Tests

Ask Questions

Organize Tests

Best Practices

Quick Start

Generation Patterns

What Gets Generated

Example Prompts

Refining Generated Tests

Advanced Techniques

Quality Assurance

Best Practices

What’s Next?