AI testing tools can generate test cases and identify areas of code that may need additional coverage. They are also used to automate browser tests and maintain test suites as an application changes. This can help teams find routine defects earlier.
For most buyers, the best AI testing tools will be the option that fits the existing workflow and produces dependable results. Generated tests are only valuable when they reflect real requirements. Teams should review whether the test proves the intended behavior or merely confirms the current implementation. The strongest platforms support human-written testing strategies instead of replacing them with large numbers of shallow checks.
