What is Checksum.ai?
Checksum.ai is an AI-powered testing platform that automatically generates, runs, and maintains end-to-end tests using Playwright. It helps development and QA teams ship software faster without compromising quality. By continuously analyzing code changes, Checksum creates production-ready tests for each pull request, targeting the exact code that changed. It can generate 50-200 tests per PR, covering thousands of endpoints in days rather than months. These tests verify actual system behavior across multiple endpoints, not just status codes. A key feature is its self-healing capability: when your app evolves, the AI agent automatically fixes broken tests, eliminating the manual maintenance burden. About 70% of failures resolve autonomously without engineer intervention. For critical accuracy, Checksum offers Results as a Service, which includes human engineer final verification to deliver 100% ready-to-go tests. This ensures you don't have to write, edit, or worry about AI accuracy. The platform integrates seamlessly with existing CI pipelines and frameworks, with most teams running their first tests within a day. Pricing is simple: no per-seat fees or per-run charges; just a clean number tied to how many tests Checksum maintains for you. Use cases include accelerating release cycles, reducing QA overhead, and enabling continuous testing for agile teams. Technical details: built on Playwright, supports multi-endpoint tests, and operates as an always-on agent that runs in the background without manual prompting. It differs from coding agents that write tests on demand by providing continuous, autonomous test generation and healing. Checksum removes the low-leverage work of writing and maintaining tests, allowing QA teams to focus on exploratory testing, edge cases, and quality strategy.
Use Cases
Key Features
AI generated end to end tests self healing broken tests Playwright based testing per PR test generation multi endpoint verification CI pipeline integration human final verificationWho is it for?
QA engineers, development teams, DevOps engineers, software testers, platform teams, engineering managers
