Software Testing Blog

AI systems slip in the exact moments users lean on them most. A chatbot loses track mid-conversation, a copilot edits the wrong code block, a recommender pushes products no one would ever click. You’ve likely seen these glitches firsthand, usually when your team can least afford them.

Should you use game testing automation tools or stick with manual testing only? If you do use AI-based testing and otherwise automated solutions, which should you go for?

Searching for the top QA events and software testing conferences to boost your career or business in 2026? You’re in the right place!

Everyone’s talking about DORA compliance requirements, but most folks still treat it like a riddle wrapped in red tape. Spoiler: it’s neither boring nor optional, especially if your business is anywhere near finance, banking, or the cloud software game in Europe.

Testing AI search and recommenders is critical to delivering a seamless user experience that engages rather than annoys buyers. Poorly configured AI search engines and ineffective AI recommender systems can frustrate users with irrelevant results, confusing navigation, or overly aggressive recommendations. This is where professional AI testing services can make all the difference.

Welcome to another tech talk where one of our clients shares their experience working with the QAwerk team. Expect to find out what it’s like to build and test an education marketplace for millions of users worldwide. You’ll learn about the daily challenges, testing areas that require the most attention, and the results you can achieve with a dedicated QA partner working alongside your team.

Europe stands at the forefront of the cryptocurrency regulation revolution, with three pivotal frameworks—MiCA, DAC8, and DORA—poised to reshape the way digital assets are governed across the continent.

Shipping a flawless game today goes beyond brilliant design or addictive gameplay. You also need to make sure your release doesn’t crash, glitch, or disappoint.

Developing custom AI models or integrating existing ones into digital products is an exciting journey, but it's also fraught with unique challenges. Unlike traditional software, AI models learn and evolve, making their behavior less predictable and their testing more complex.

As artificial intelligence continues to transform industries, AI agents — autonomous systems capable of making decisions and acting independently — are becoming central to business operations. Their growing influence means that the stakes for reliability, safety, and ethical behavior have never been higher. For AI companies, this shift demands new testing strategies and a deeper understanding of both technical and regulatory landscapes.