Architecture isn’t just a technical concern—it directly influences testing outcomes. A testing framework’s architecture determines how reliably it interacts with browsers, how it manages asynchronous operations, how isolated your test runs are, and how well it can scale across test environments. For instance, while Selenium relies on the WebDriver protocol—a standard that has enabled wide compatibility—it’s also bound by its limitations. Cypress, on the other hand, embeds itself within the browser, bringing a high-fidelity testing experience at the cost of flexibility. Playwright introduces a new paradigm altogether with its browser automation protocol and multi-context isolation. https://testomat.io/blog/playwright-vs-selenium-vs-cypress-a-detailed-comparison/

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At its core, artificial intelligence in test automation refers to the use of algorithms and data models to perform tasks traditionally carried out by humans during software testing. These tasks may include test case generation, test data creation, defect prediction, result analysis, and even self-healing tests. https://testomat.io/blog/ai-automation-testing-a-detailed-overview/

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Python unit tests are an essential tool for any developer looking to improve the quality and reliability of their code. By writing unit tests, you can detect bugs early, prevent regressions, and ensure that your code continues to perform as expected. To get started, familiarize yourself with the unittest module and explore additional tools like Testomat.io and pytest to make your testing process more efficient and scalable. https://testomat.io/blog/a-guide-to-the-basics-of-python-testing-how-to-write-unit-tests-and-organize-execution-test-cases/