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

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 Tester to Automation Engineer Overnight

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

Software Testing Trends in 2026: The Ultimate Guide to Modern QA Excellence

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

AI AI testing automation testing test management

Test Case Generation Using LLMs: How AI Is Transforming Software Testing

According to different estimates, the global number of software testers doesn’t exceed 9 million. Given the meteoric spike in the production of all kinds of IT products and the respective quantity of software tests to be conducted, QA teams can’t get them covered, no matter how hard they try. The only way to ensure a […]

Vitaliy Mikhailyuk

Dec 30, 25

AI testing MCP test management

Python MCP Server Guide

The current practice of using external data and tools for AI model testing and development brings substantial benefits, but the need for custom system connections leads to major problems with system expansion capabilities. Thanks to the Model Context Protocol (MCP), you can establish a standardized client-server framework to enable LLMs to connect with external systems […]

Michael Bodnarchuk

Dec 26, 25

AI AI testing automation testing Insights

ChatGPT for Test Case Generation: Your AI Testing Sidekick in 2026

Let’s be real, software testing can be exhausting. You spend hours analyzing requirements, brainstorming test scenarios, writing detailed test cases, and then finally getting to the fun part: actually running the tests. But here’s the thing: while clicking buttons is easy, everything that comes before it? That’s where the real time-sink happens.

Vitaliy Mikhailyuk

Dec 22, 25

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