Checksum

Test every corner of your app using AI

Usage Based

Description

Checksum is an AI-driven tool designed to streamline the software testing process. It empowers development teams to test every corner of their applications by automatically generating and maintaining end-to-end (E2E) tests. By leveraging AI to analyze user sessions, Checksum helps teams move quickly and confidently, significantly reducing the likelihood of bugs reaching production and saving valuable development time.

The platform operates by observing real user interactions to discover both common pathways and critical edge cases, ensuring comprehensive test coverage. Users can generate tests with a single click from auto-detected flows or by defining test scenarios using natural language. These tests are provided in popular frameworks like Playwright or Cypress, giving teams full control. Checksum seamlessly integrates into existing workflows, delivering tests via pull requests to repositories on Github or Gitlab, and supports execution with tools like Jenkins and CircleCI. Its AI agent further enhances efficiency by automatically healing broken tests and adapting the test suite as new features are deployed, maintaining an always up-to-date and non-flaky testing environment. The initial setup is straightforward, requiring just two lines of Javascript for anonymized data collection with no impact on application performance.

Key Features

Auto-generated Tests: Saves months in development time with AI-generated tests derived from user sessions.
Comprehensive Coverage: AI models discover happy path and edge cases for maximum test coverage.
Self-maintaining and Auto-healing: An AI Agent automatically fixes failing tests and adapts them as needed.
Playwright and Cypress Generated: Delivers tests in Playwright or Cypress formats, giving teams full control.
Autonomous Testing Suite: The AI agent automatically adjusts existing tests and generates new ones for new features or changed flows.
No Flakiness: An AI Agent is triggered on test runs to help ensure zero flakiness, making failed tests reliable indicators of bugs.
Natural Language Test Generation: Allows users to generate E2E tests by defining test flows using natural language.
Auto-detect Test Flows: The model is trained on real usage data to automatically detect test flows, which can achieve full coverage within days.
Simple SDK Integration: Integrates with just two lines of Javascript for fully anonymized data collection with no performance impact.

Use Cases

Automating the creation of end-to-end test suites for web applications.
Maintaining and updating test suites dynamically as applications evolve.
Ensuring comprehensive test coverage, including happy paths and edge cases.
Reducing the time and effort engineering teams spend on writing and debugging E2E tests.
Accelerating software deployment cycles by providing reliable and fast automated testing.
Generating tests for new or modified features based on actual usage patterns or natural language descriptions.
Minimizing test flakiness to improve confidence in test results.

Frequently Asked Questions

How does Checksum generate tests and ensure coverage?

Checksum automatically generates end-to-end tests by analyzing user sessions from your application. Its AI models are trained to discover both happy path and edge cases, aiming for maximum test coverage, which can often be achieved within days of integration.

How does Checksum test new features if it learns from existing user sessions?

When new features are introduced or existing flows change, Checksum's AI agent automatically adjusts existing tests and generates new ones. You can also generate tests by selecting auto-detected flows, writing test flows in natural language, or even by using content from your Help Center articles.

What kind of tests does Checksum generate?

Checksum generates end-to-end (E2E) tests. These tests are provided in widely-used frameworks such as Playwright or Cypress, giving your team full control over the test scripts.

What data does Checksum collect, and does it impact production performance?

Checksum collects data through a simple SDK integration (2 lines of Javascript). This data collection is fully anonymized and has no impact on your application's performance. Integration can be limited to staging environments as only a handful of sessions are needed.

How does Checksum prevent test flakiness?

Checksum employs an AI Agent that is triggered during test runs. This agent works to ensure there is zero flakiness in the tests. Additionally, when a Checksum test fails, it's designed to indicate a genuine bug rather than a flaky test, and the AI can automatically heal tests if needed.