Guides

AI-powered testing tools are transforming software quality assurance by using machine learning to create self-healing tests that adapt automatically to UI and application changes, dramatically reducing flaky failures and maintenance effort. Leading platforms like Testim, Applitools, Mabl, and Bugproof use techniques such as smart locators, visual AI, natural-language test creation, and autonomous test agents to keep CI/CD pipelines reliable and fast. Overall, AI-driven testing shifts QA from manual, reactive maintenance to continuous, built-in quality with broader coverage and faster feedback.

Sometimes a target website cannot be reached by automated tests. This is often due to strict firewalls that block automated traffic, but can usually be resolved by configuring the right authentication headers. You can improve reliability by adding custom headers at the project level.