Once upon a time, when I first installed Ubuntu, the question “how do I add a program” was a whole quest. Where’s the App Store? How do I install Google Chrome or an image editor?
"Who am I as a professional?"
“They offer me a leadership role, but I don’t feel confident the team will accept me…”
“We want to promote several employees, but the management/client doesn't see them as ready for promotion yet. How can we position them better?”
I periodically receive these and similar questions from clients. And although it’s not always visible at first glance, they’re all about a professional brand — the image created in the work environment.
Risk assessment is not “insurance” in case of disaster, but rather a regular habit of asking yourself: what could go wrong – and are we ready for it? This process is often underestimated, especially in the early stages, but it can save nerves, time, money – and your reputation.
Imagine having a personal assistant who can help with routine tasks, suggest unusual solutions, and even create test documentation for you. And it’s not a teammate – it’s artificial intelligence (AI). Today we’ll talk about how AI changes the approach to testing – practically, with examples and tools.
In today's IT world, the role of a Quality Assurance (QA) specialist is rapidly evolving.
Data Analysis is a key business tool that helps make decisions based on numbers and facts.
Modern training methods can help companies not only optimize costs but also increase the effectiveness of personnel development.
When it comes to software development, the role of QA is often considered mandatory.