Every QA engineer goes through different stages of learning, testing and exploring new tools. Automation frameworks are a big part of that journey. They influence not only how we write tests, but also how we think about testing, how fast we work and how clearly we understand the code in front of us.
When people talk about Quality Assurance, they often picture someone who just tests software and reports bugs. It sounds like a straightforward job: follow the checklist, run the tests and make sure everything works before release. But QA is much more than that.
AI is transforming how we build software: faster, smarter, more automated than ever before. Tools like GitHub Copilot, ChatGPT and other AI assistants can generate entire features in minutes. But here’s the uncomfortable truth: speed doesn’t always mean quality.