Checksum AI
Checksum AI is an autonomous quality agent that integrates with CI/CD pipelines to generate, run, and maintain software tests without manual prompting.
Checksum AI is an autonomous quality agent that integrates with CI/CD pipelines to generate, run, and maintain software tests without manual prompting.
What the product does and how it is positioned
Checksum AI is a continuous quality platform designed to operate as an autonomous background agent within the software development lifecycle. It focuses on automating the testing process to ensure code reliability without slowing down release cycles.
The platform distinguishes itself from standard coding assistants by working independently to generate and maintain large volumes of tests, including unit, integration, and end-to-end suites, while automatically healing them as the codebase evolves.
Source-supported ways to use the product
Engineering teams use the agent to generate hundreds of end-to-end tests autonomously, allowing quality assurance to keep pace with rapid development.
The platform executes full regression suites after deployment to verify that new features have not introduced defects into existing functionality.
The documented workflow, where available
The agent monitors project management tools like Jira or GitHub to identify new sprint goals and feature requests.
Checksum AI generates necessary end-to-end tests and heals existing ones to align with the new feature development.
The system runs unit and integration tests during the pull request phase and performs smoke tests before merging.
After deployment, the agent runs full regression tests and automatically creates bug tickets for any detected failures.
Checksum AI operates as a background agent rather than a conversational copilot. This design allows it to handle high-volume tasks, such as generating 200 tests at once, without requiring the developer to engage in a back-and-forth dialogue or wait for individual responses.
By functioning independently, the agent can monitor the CI/CD pipeline and project management tools to trigger testing actions automatically based on developer activity, such as creating a pull request or deploying code.
Checks to run with your own material and workflow
What was checked and when
Answers based on the source-checked product record
Checksum AI operates as an autonomous background agent that completes tasks like generating hundreds of tests without requiring constant user prompts.
The platform is capable of generating end-to-end (E2E) tests, unit tests, and integration tests throughout the development lifecycle.
Yes, the system includes auto-healing and auto-recovery capabilities to update tests automatically when code changes occur.
The platform integrates with several project management tools, including Jira, Linear, GitHub, and Asana, to track sprint goals and manage bug tickets.
The agent runs tests at multiple stages, including during PR creation, before deployment via smoke tests, and after deployment through full regression suites.