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.

#acceptance testing #agile #AI #AI testing #analytics #api testing #automated testing #automation testing #bdd #ci\cd #cloud testing #comparison #cucumber #cypress #DevOps #e-commerce testing #framework #Gaming Software Testing Management #gherkin #Insights #javascript #Jest #jira #MCP #Meetup #mobile testing #news #playwright #python #qa process #regression testing #review #roi test managment #saas testing #selenium #test automation #test management #test reports #testing as a service #testing guides #testing metrics #testing theory #testing tool #testing types #typescript #UAT testing #unit testing #video

AI testing jira MCP test management

Building Jira MCP Server integration with test management

With the Model Context Protocol (MCP) you can communicate with Attlasian’s Jira or Confluence tool through natural language interactions. It delivers a strong ability to eliminate the need to leave the current AI application to complete Jira-related tasks

Olga Sheremeta

Nov 08, 25

AI AI testing testing tool

AI-Powered Monitoring for Automation Testing

The process of creating and delivering software is speeding up, and automation testing has become one of the critical aspects of continuous integration and deployment (CI/CD). Automated tests are able to process thousands of cases in minutes and generate lots of valuable data.

Michael Bodnarchuk

Oct 24, 25

AI testing MCP playwright

Playwright MCP Claude Code

The test automation space is turning into a huge coding AI partnership for development and testing teams and AI. Claude Code, which is combined with Playwright Model Context Protocol (MCP), transforms the way developers and QAs approach browser automation and testing. With the MCP Playwright server,

Olga Sheremeta

Oct 15, 25

AI testing Insights review testing tool

Top Integration Testing Tools in 2025

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

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 2025

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

AI testing Insights review testing tool

The 8 Best Vibe Coding Tools in 2025

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