Software Testing Blog

The official Testomat.io blog featuring software testing tutorials, test automation insights, and QA best practices.

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AI testing Insights review testing tool

Top Integration Testing Tools in 2026

Your integration tests are flaky. Again. The API call that worked yesterday now times out. The database connection that passed in staging fails in production. Your team scrambles to find which component broke, digging through logs across three different tools while your release deadline looms.

Mykhailo Poliarush

Oct 07, 25

AI testing Insights review testing 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

Oct 02, 25

AI testing Insights review testing tool

Generative AI in Software Testing: Top Tools for 2026

Software testing generative AI is revolutionizing the nature of QA teams performing quality assurance. Weeks-worth of manual testing now takes hours. Human-aided test case generation that would happen now happens auto-pilot style. Adding generative AI to testing is shattering bottlenecks that have plagued development teams for decades.

Mykhailo Poliarush

Sep 26, 25

Meetup

Benjamin Bischoff – Karate: Beyond API testing

Karate uses a simple, readable syntax known as Gherkin. You may know Gherkin from Behavior-Driven Development (BDD). It uses the structure of Given, When, and Then: Given: This sets up the test. When: These are the actions you perform. Then: This is where you check the results and run assertions. Karate is unique because it removes the need for “glue code.” […]

Solomia Krutenko

Sep 25, 25

Meetup

Eyal Geva – RPA uses in Automated Testing

RPA stands for Robotic Process Automation. This technology focuses on automating processes that might span across multiple applications, systems, or platforms. It is not limited to just software or API testing. Instead, RPA aims to automate the entire lifecycle of a workflow. This approach allows teams to build robust automation that includes data creation, environment setup, […]

Solomia Krutenko

Sep 25, 25

Insights review testing tool

Network Testing Tools: Types, Features, and Best Practices of Using

Sometimes, an organization has robust software solutions in its ecosystem and high-profile IT professionals to wield them. Yet, the company’s business operations are stalled because of the digital environment’s subpar work, to put it mildly. How can it be? In all likelihood, it happens because of inadequate network performance. Network testing is called to ensure […]

Mykhailo Poliarush

Sep 24, 25

AI testing Insights review testing tool

Vibe Coding and Testing: 8 Best AI Tools for Automation in 2026

The coding club has always been a secret one. Functions and methods had to be memorized, lint rules needed to be mastered, boilerplate had to be written, developer memes needed to be deciphered, and a million sorts of videos needed to be watched only to start with. The entry barrier was such that millions of […]

Mykhailo Poliarush

Sep 21, 25

AI testing Insights

Building Reliable AI Suggestions for QA: From Prompt Chaos to Controlled 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

Sep 19, 25

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