Checksum.ai is an end-to-end (E2E) automation testing tool that transforms user sessions into a comprehensive automation pipeline, enabling faster testing without sacrificing quality.
The tool automatically creates and maintains E2E tests based on user sessions, significantly reducing development time and allowing teams to focus on deployment. It leverages machine learning models trained on production sessions to ensure full coverage. Maintenance is not required, as the AI continuously adapts tests to code changes and reduces flakiness.
Checksum.ai offers a quick and easy integration process. To generate tests, a seed test user is set up in the production or staging environment, and the JavaScript software development kit (SDK) is integrated by adding just three lines of code when the application is mounted. Integration is streamlined with automatic and privacy-centric data collection. The tool collects data similarly to Fullstory or Hotjar, but hashes inner texts to ensure user privacy.
Test results are produced using open-source frameworks such as Cypress or Playwright, with immediate detection of issues to reduce firefighting and accelerate code reviews.
Checksum.ai provides a comprehensive FAQ section that addresses common concerns, such as test generation, testing of new features, types of tests generated, and data collection practices. The tool’s algorithms extrapolate from production sessions, learn user interface conventions, and generate tests for new features on the spot.
The tool records user sessions in a manner similar to Fullstory or Hotjar, hashes inner texts for privacy, and offers configurable privacy controls for sensitive elements. Despite its robust functionality, Checksum.ai has a minimal impact on performance, utilizing open-source tools trusted by Fortune 500 companies.
More details about Checksum
How instantly can Checksum.ai detect bugs and issues?
Checksum.ai is designed to detect bugs and issues instantly. It performs testing while code is being developed, allowing issues to be identified and resolved in minutes rather than causing problems post-deployment.
How does the integration process for Checksum.ai work?
The integration process for Checksum.ai is quick and straightforward. It involves integrating a JavaScript SDK by adding just three lines of code when the application is launched. A seed test user is provided in the production or staging environment to generate tests.
How does Checksum.ai assist in the auto-generation of tests?
Checksum.ai facilitates the auto-generation of tests by training an AI model on real user sessions from the production environment. The model learns how users interact with the app, covering both typical flows and edge cases, and generates comprehensive tests accordingly.
What frameworks does Checksum.ai use to generate test results?
Checksum.ai uses open-source frameworks such as Cypress and Playwright to generate test results. These frameworks are widely used for end-to-end testing in modern JavaScript applications.
