AI Model Evaluation: Accuracy, Explainability, and Bias
AI Model Evaluation for software testing: learn how QA teams assess accuracy, explainability, bias, and trust in AI-powered testing tools.
Dominik Szahidewicz
•January 30, 2026
Dominik Szahidewicz
Dominik Szahidewicz is a tech writer at BugBug. With over three years writing about test automation, QA workflows, and software testing strategy, he focuses on making technical topics accessible to B2B SaaS teams navigating the complexity of modern testing tools.
His content covers tool comparisons, testing frameworks, and automation best practices — developed in close collaboration with BugBug's engineering team to ensure technical accuracy. Before BugBug, Dominik worked in data science and application consulting, giving him a grounding in how development teams actually use software in practice.
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AI Testing Framework: Is It Solving the Right Problem?
AI testing frameworks promise smarter QA, but often add complexity instead of solving real problems. Learn when AI can help, and when it can hurt.
Dominik Szahidewicz
•January 24, 2026
Generative AI Testing Tools - Evaluation Checklist
Should you choose generative AI testing tools? Try our evaluation checklist to make the right call.
Dominik Szahidewicz
•January 24, 2026
How Does Selenium Work?
How does Selenium Work, what it’s good at, where it breaks down, its hidden costs, and how much UI automation is actually healthy.
Dominik Szahidewicz
•January 22, 2026
Production Testing: What It Is and How to Do It Safely
What testing in production really means, why teams use it, where it fails, and how to validate safely without turning users into QA.
Dominik Szahidewicz
•January 22, 2026
How To Build a CI/CD Testing Pipeline in 30 Minutes
Build a CI/CD testing pipeline in 30 minutes with BugBug. Learn how to run reliable E2E smoke tests on every PR, block bad merges, and scale safely.
Dominik Szahidewicz
•January 22, 2026