Testim
AI-driven no-code platform for web and mobile test automation
What is Testim?
Try TestimTestim is an AI-driven end-to-end and UI test automation platform built to help teams ship faster. It focuses on fast authoring of stable tests and aims to reduce maintenance as applications change, so testing keeps up with rapid iteration. Testim is designed to fit into existing DevOps and release workflows, including how tests run in teams using CI.
What does Testim do for software teams?
Testim helps teams create, maintain, and run resilient end-to-end and UI automated tests. The goal is to reduce the time it takes to author tests and to keep them stable as the UI and apps evolve, so release teams can move faster.
Is Testim no-code or easy to use for developers and QA?
Testim is built with a simple user interface that makes it easy for developers to add tests. Teams also highlight that it avoids a steep learning curve, helping increase coverage without adding as much maintenance effort.
How does AI improve test stability as the app changes?
Testim uses machine learning and smart locators to help tests stay resilient when the UI changes. In practice, users report that even with changes like login flow updates, tests can continue to find elements and avoid failures.
Where can tests run, and how does Testim fit into CI workflows?
Testim supports running tests in a way that fits into existing DevOps processes, and teams can integrate it into their release and automation workflows. It can also run on Testim’s execution grid or on third-party testing grids, depending on how your team operates.
Can Testim help teams scale test coverage across pull requests?
Yes. Teams report running Testim tests on every pull request to catch issues before they reach production, supporting higher release velocity and broader coverage over time.
What kind of analysis and debugging does Testim provide when something fails?
Testim includes TestOps-style support for test stability and root cause analysis, helping teams understand what’s happening when tests fail so they can address problems efficiently.