Just a few years ago, this was spoken of as the future, and today artificial intelligence is a familiar tool in the work of QA engineers.
It takes over routine tasks such as generating test data and creating bug reports, helps analyze data faster, identify risk areas in functionality, and compile reports with a focus on truly important defects. But speed is not the only quality criterion. AI can accelerate the process, but it is the human who adds context: understanding product goals, user expectations, and the sense of real experience that no model can describe.
At WebbyLab, we try to use AI wherever it is truly appropriate. Where it can make work more efficient, save time, and help the team focus on more complex tasks. For us, it is not a “magic button” but a tool that strengthens analytical thinking, accuracy, and the ability to make well-considered decisions.
So, the secret lies in synergy: AI and QA together create a powerful tandem in which the machine speeds up processes and assists with analytics, while the human ensures contextual understanding and high-quality evaluation of results. Together, they shape testing that is not just fast, but truly valuable for the product.
