In the last few years, frameworks like Selenium, Cypress, and Playwright have become indispensable for test automation. Each has its strengths and audience, which naturally led many companies to use multiple tools at the same time. At first, this diversity seems strategic. Over time, though, it creates a side effect: scattered tests, fragmented reports, and

When it comes to software quality, not all tests are created equal. Teams often debate between testing individual features and testing broader business objectives. Both have their place, yet the approach you choose can determine whether your system simply looks functional or actually delivers what your users need. What specific testing means? This type of

Memory changes how intelligent systems behave. Without it, agents reset with every interaction as though nothing has happened before. AI with memory can retain context, learn patterns, and adapt based on previous interactions. That’s key to real progress, especially when agents need to act reliably over time. Platforms like TestBooster.ai showcase how using AI in

Testing the back-end of an application isn’t optional, it’s essential. While front-end tests ensure users see what they expect, back-end validation confirms the system is actually doing what it promises. Without it, you risk data inconsistencies, broken workflows, failed integrations, and silent errors that only show up when it’s too late. In this scenario, TestBooster.ai

Has this ever happened to you? The code is ready, the release date is getting closer… and suddenly, a bug pops up and delays everything. That’s exactly where Shift Left Testing comes in, the concept of testing from the very beginning of development to avoid last-minute surprises. And what if I told you this isn’t