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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

Insights test automation testing theory

The True Cost of Software Bugs and How Test Management Saves Money?

According to the Quality Transformation Report, poor software quality costs them over $1 million annually. In the U.S., 45% of businesses report losses above $5 million a year. The financial impact keeps growing. Technical debt alone reached 1.52 trillion dollars. These are not abstract numbers. Every software bug has a real cost. The cost to […]

Michael Bodnarchuk

Mar 13, 26

automation testing Insights saas testing testing guides

How to Build a SaaS Application Testing Strategy That Works?

The majority of testing strategies used in SaaS applications are unsuccessful due to the teams using old software testing methods to cloud products. SaaS is deployed in batches numerous times per day, has thousands of tenants at once, and is required to have a 99.9% uptime globally. Conventional testing fails in such circumstances. There is […]

Tetiana Khomenko

Mar 06, 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 theory testing types

What is Monkey Testing in Software Testing? A complete guide.

In software testing, making sure an application works well and is dependable takes many steps. Using organized testing methods and predefined test cases is very important. However, these methods might miss some

Tetiana Khomenko

Mar 04, 26

Insights javascript test automation typescript

TypeScript best practices: common mistakes and how to avoid them

Why TypeScript? JS frameworks continue to grow in popularity, and TypeScript is a logical evolution of JS. Therefore, given the relevance of the topic and the author’s experience, we decided to share the next insights. TypeScript superpower Modern applications created with React, Angular, or Vue are often highly complex, and plain JavaScript alone can make […]

Oleksandr Pelykh

Mar 01, 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

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