Gone are the days when writing test automation meant hours of coding and debugging.

Now, AI copilots are the shoulders to lean on. They generate test cases, spot potential issues before they become problems, and improve code quality. Basically, it's like having a second brain that speaks in code.

Yet, an AI copilot comes with its share of questions. As more people integrate it into their testing workflows, we need to understand its promise and pitfalls for testing and testers alike.

Let's unpack this together.