AI testing

The rise of artificial intelligence has redefined the boundaries of software testing. Whether you are testing AI models for bias and accuracy or using generative AI to automate your test suites, staying updated is crucial. Here, we explore the intersection of AI and QA, covering everything from MLOps validation to advanced AI-powered testing tools that help teams achieve unprecedented scale and efficiency in 2026.

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Evolution-of-testing
agileAI testingautomation testingInsightsjiratesting theory
Software Testing Trends 2026: The Ultimate QA Guide
The software testing industry has witnessed more transformation in the past few years than in the previous decade combined. Remember when “automation” meant recording macros in Excel and teams debated whether Selenium was worth the learning curve? Those days feel like ancient history now that AI-driven testing tools can generate comprehensive test scenarios faster than […]
Mykhailo Poliarush
Mykhailo Poliarush
chatgpt for test case generation
AIAI testingautomation testingInsights
AI Test Management Solutions vs. ChatGPT: What’s Better for QA Documentation Analysis?
Let’s be real: software testing can be exhausting. While running automated suites is easy, the prep work—analyzing requirements, brainstorming scenarios, and writing test cases—drains hours of engineering time. While general AI tools like ChatGPT help with ad-hoc prompts, modern QA teams increasingly rely on specialized ai test management solutions to bridge the gap between requirements […]
Vitaliy Mikhailyuk
Vitaliy Mikhailyuk
AI-Driven Test Design
AIAI testingtesting tool
AI-Driven Test Design: Transform Requirements into Intelligent Test Cases
As the need for digital solutions in the contemporary IT-fueled world grows exponentially, development teams find it increasingly hard to churn out websites, apps, e-commerce platforms, ERP systems, etc., in sufficient numbers. And the non-negotiable requirement for all these products is unimpeachable software quality, validated through out-and-out software product testing.
Michael Bodnarchuk
Michael Bodnarchuk
Test Automation Reporting
AI testingInsightsreviewtesting tool
Test Automation Reporting: Best Tools, Features, and Practices in 2026
Software testing is a mission-critical element of the SDLC where the newly created product undergoes an out-and-out check of its security, performance, usability, and other functional and non-functional aspects. Given the multitude of software quality parameters that need to be validated and the overwhelming number of test cases to be executed, manual testing of the […]
Mykhailo Poliarush
Mykhailo Poliarush
AI-cover
AI testingInsights
AI Prompt Testing Methods: How to Build Reliable QA Workflows
In our previous article on the topic “ChatGPT vs. AI Test Management Platforms”, we explored the fundamental differences between using general-purpose AI assistants like ChatGPT versus AI-native QA management systems like Testomat.io. While LLMs offer remarkable flexibility, they often fall short when applied to structured, domain-heavy use cases like software testing. A key challenge we […]
Vitaliy Mikhailyuk
Vitaliy Mikhailyuk
Switch to Testomat.io now and transform your testing process into a faster

Switch to Testomat.io now and transform your testing process into a faster

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