Checksum.ai
Automate end-to-end testing using AI-generated scripts from user behavior
Target Audience
- Software engineering teams
- QA automation engineers
- DevOps professionals
- Product managers
Hashtags
Overview
Checksum.ai uses AI to automatically create and maintain software tests by analyzing how real users interact with your application. It eliminates manual test writing and maintenance, helping engineering teams ship updates faster without breaking existing functionality. The system self-heals tests when changes occur and ensures comprehensive coverage of both common workflows and edge cases.
Key Features
Auto-generated Tests
Creates Playwright/Cypress tests from user sessions in one click
Self-Healing Tests
Automatically fixes broken tests when UI changes occur
Edge Case Detection
Identifies unusual user flows for maximum test coverage
CI/CD Integration
Direct PR integration with GitHub/Gitlab/Jenkins
Autonomous Updates
Generates new tests automatically for feature updates
Use Cases
Auto-generate test scripts
Self-heal broken tests
Ensure edge case coverage
Accelerate release cycles
Integrate with CI/CD pipelines
Pros & Cons
Pros
- Reduces test creation time from hours to minutes
- Automatically adapts to UI/feature changes
- Identifies both common and edge-case user flows
- Seamless integration with popular dev tools
Cons
- Requires user session data collection
- Primarily focused on web applications
Frequently Asked Questions
How does Checksum generate tests?
Trains AI models on real user sessions to understand app interactions and edge cases, then generates Playwright/Cypress tests.
Does it work with new features?
Yes, extrapolates from existing UI patterns to test unreleased features without new session data.
Is performance impacted?
Uses anonymized data collection with no measurable performance impact, similar to Fullstory/Hotjar.
Integrations
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