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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Test Case Generation Using LLMs

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, 2025

Python MCP Server

AI testing MCP test management

Python MCP Server: Building AI Context with Examples

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, 2025

chatgpt for test case generation

AI AI testing automation testing Insights

ChatGPT for Test Case Generation: How to Use AI Prompts for Testing

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, 2025

Best MCP Server Testing Tools in 2025

AI AI testing automation testing Insights MCP

Best Tools to Test MCP Server: A Complete Automation Guide

The Model Context Protocol (MCP) represents a fundamental shift in how AI agents interact with external tools and data sources. Developed by Anthropic and quickly becoming an industry standard, MCP creates a universal way for large language models to securely access information and execute actions across different systems.

Michael Bodnarchuk

Nov 18, 2025

AI-Driven Test Design

AI AI testing testing tool

AI-Driven Test Design: Transform Requirements into Intelligent Test Cases

As the need for digital solutions in the contemporary IT-fueled world grows exponentially, development teams find it increasingly hard to churn out websites, apps, e-commerce platforms, ERP systems, etc., in sufficient numbers. And the non-negotiable requirement for all these products is unimpeachable software quality, validated through out-and-out software product testing.

Michael Bodnarchuk

Nov 14, 2025

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

Mykhailo Poliarush

Nov 08, 2025

AI-Powered Monitoring

AI AI testing testing tool

AI-Powered Monitoring for Automation Testing: The 2026 Guide

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, 2025

AI testing MCP playwright

Playwright MCP Claude Code: Complete Guide to AI Test Automation

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,

Mykhailo Poliarush

Oct 15, 2025

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, 2025

Test Automation Reporting

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, 2025

Generative AI in Software Testing

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, 2025

The 8 Best Vibe Coding Tools in 2025

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, 2025

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

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, 2025

The Best Regression Testing Tools in 2025

AI testing Insights

The Best Regression Testing Tools in 2026: Features, Comparisons

The IT realm is a very dynamic field that never stays put. New technologies and ideas about how to tackle this or that problem crop up continuously during the SDLC. Consequently, software developers often introduce code changes on the fly and adjust their methods and approaches in line with shifting requirements and conditions.

Mykhailo Poliarush

Sep 12, 2025

ChatGPT vs. AI Test Management Platforms

AI testing Insights

ChatGPT vs. AI Test Management Platforms: What’s Better for QA Documentation Analysis?

Modern software quality assurance (QA) processes demand speed, accuracy, and consistency. With the introduction of generative AI technologies such as ChatGPT, the potential for automating and enhancing QA tasks has grown exponentially. However, while ChatGPT and similar AI assistants offer general-purpose intelligence, specialized test management systems provide domain-specific solutions with deeply integrated AI workflows.

Vitaliy Mikhailyuk

Sep 05, 2025

Switch to Testomat.io now and transform your testing process into a faster

Switch to Testomat.io now and transform your testing process into a faster

Move your tests to Testomat.io