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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AI testing testing tool

Best HIPAA Compliance Software in 2026

Healthcare data doesn’t forgive mistakes. A misconfigured access control, an untested workflow, an unreviewed policy any one of these can turn into a HIPAA violation, a breach notification, and a fine that dwarfs whatever was saved by cutting corners on compliance. The organizations that stay compliant aren’t necessarily the ones with the biggest legal teams; […]

Tetiana Khomenko

May 06, 26

AI testing

AI for Quality Assurance: Automating Testing Workflows with Testomat.io

QA teams are drowning in repetitive work: writing test cases from scratch, maintaining outdated test suites, hunting for coverage gaps across hundreds of features. AI in quality assurance shifts where your time goes. Instead of generating boilerplate test cases manually, QA engineers spend their hours reviewing what AI drafts, catching edge cases the model missed, […]

Vitaliy Mikhailyuk

Apr 24, 26

AI testing testing guides

Autonomous Software Testing: Tools, AI Models & Guide 2026

Most test automation still requires a human to write every script, maintain every selector, and decide what gets tested. Autonomous testing refers to something different: software testing where AI handles the generation, execution, and analysis of tests without step-by-step human instruction. That’s a meaningful distinction. Traditional test automation automates the execution of tests a human […]

Mykhailo Poliarush

Apr 21, 26

AI testing

Generative AI Testing Challenges: What QA Teams Face in 2026

Companies spent 33.9 billion dollars on generative AI per year. Yet 74% of teams struggle with implementation. The problem is not adoption. The problem is making AI testing tools actually work. QA teams face specific challenges when testing generative AI systems. Traditional testing methods fail when applications generate unpredictable outputs. Test case creation becomes exponentially […]

Mykhailo Poliarush

Mar 26, 26

AI testing

Testing LLM Applications: A Practical Guide for QA Teams

Testing LLM applications differs from traditional software testing in fundamental ways. A chatbot built on large language models produces different outputs for identical inputs. Regression tests that worked yesterday fail today without code changes. QA teams trained on deterministic systems struggle with non-deterministic AI responses. Gartner reports 85% of GenAI projects fail due to inadequate […]

Vitaliy Mikhailyuk

Mar 19, 26

AI testing Insights

Manual Testing with AI in Testomat.io

Hi everyone, my name is Ira, and I work as a QA Engineer at MEV. I have been in the testing industry for about seven years, working on a variety of interesting projects – testing web, desktop, and mobile applications. Every day I use AI tools. In my opinion, they are a very convenient assistant […]

Ira Kravchenko

Mar 06, 26

Testing with Testomat.io & Playwright Agents

AI testing Insights test management testing guides

From Manual QA to QA Automation Engineer: A 2026 Guide with Playwright & AI

There’s a particular kind of frustration that lives in the gap between knowing what to test and knowing how to automate it. You’ve written the steps. You understand the logic. You know exactly what the button should do when clicked. But the moment someone mentions TypeScript, page objects, or async/await, the mountain starts looking very […]

Vitaliy Mikhailyuk

Feb 27, 26

agile AI testing automation testing Insights jira testing theory

Top Software Testing Trends in 2026: Future of Quality Assurance

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

Jan 09, 26

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