How to use AI in software testing and test automation?
There are several ways to bring AI into your testing workflows. Some teams build and integrate AI models themselves. For example, they use machine
learning to prioritize tests or detect patterns in failures. Others use AI libraries or APIs to generate test data, analyze logs, or support
decision-making in large-scale test environments.
But if you want a quicker way to get started, you can use a test automation tool that already has AI features built in. For example, Katalon Studio
Enterprise includes AI capabilities that help you generate test scripts, explain complex code, auto-heal broken locators, and troubleshoot issues,
without needing to build anything from scratch. Just install and start using it.