Web interoperability, which requires compatibility among various web technologies, presents challenges for software testers, particularly as automation and machine learning gain prominence in the IT industry. Despite the rise of automated testing, manual testing remains crucial, as it allows testers to develop better test scripts and address issues that machines may overlook. The text highlights several obstacles testers face, such as failing to consider important user stories due to the fast pace of agile development and focusing too much on test cases without exploring the product beyond preset scenarios. It emphasizes the importance of contemporary testing strategies like accessibility, usability, exploratory, regression, and cross-browser testing. The text advocates for testers to break free from orthodox thinking and continuously learn from mistakes to improve testing quality. Although AI can enhance testing efficiency, human creativity and adaptability are irreplaceable, suggesting that a balanced approach combining both manual and automated methods is essential for effective software testing.