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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qa-2033-autonomous-agents-compare-cover

AI AI testing Insights qa process test management

QA 2033: The Future of QA in the Age of Autonomous Agents

Artificial intelligence can already write test cases and analyze test results. It can also help with automation. Does this mean QA professionals have less work? The answer is more complex. A team can delegate some tasks to a model. A person then needs to check and revise the output. AI also accelerates development itself, so testing […]

Oleksandr Pelykh

Oleksandr Pelykh

Nov 11, 2026

ai-chip-cover

AI testing playwright regression testing test automation

Playwright Assertions With Jev: Which Steps Can Be Tested by AI?

Your team writes Playwright tests every week. You add locators, you wait for text, you check that the button exists. But the next UI refactoring breaks half of those checks, and the feature works fine. The test fails for a reason unrelated to the product. In the article below, you’ll learn which part of an […]

Michael Bodnarchuk

Nov 03, 2026

e2e-reporting-cover

AI testing playwright test automation test reports

Tester’s Army e2e Testing Framework: Reporting Steps and Artifacts

Tester’s Army e2e has made a loud entrance into test automation in October 2026. Its GitHub repository has passed 10,000 stars in two weeks. The appeal is easy to understand: write familiar TypeScript tests, then let an AI agent handle selected interactions. If you evaluate an e2e testing framework in 2026, reporting deserves a place […]

Michael Bodnarchuk

Oct 19, 2026

ai-test-case-generation-cover

AI AI testing MCP qa process test management

AI Test Case Generation: A Practical Guide for QA Teams

Your team gets a new batch of user stories every sprint, and the request for test cases arrives before the stories are final. You write the cases by hand, and half of your week goes to formatting steps and expected results. Capgemini’s World Quality Report found that 89% of organizations pilot or deploy Gen AI […]

Mykhailo Poliarush

Mykhailo Poliarush

Sep 29, 2026

jev-decision-model-cover

AI AI testing Explorbot Insights

Deterministic AI Decisions: Why Explorbot Added Jev

Most AI models are built to write an answer. Jev is built to make a decision. Explorbot is an open-source agent that tests web applications in a real browser. It runs as fast as it can using small and cheap models. During a test, it often needs to answer small, closed questions: Which of these […]

Michael Bodnarchuk

Sep 23, 2026

COVER

AI testing Insights MCP qa process test management

Test Cases in the Agentic Era: The Baseline AI Agents Need

AI agents are changing the economics of software development. Source code can now be generated, refactored, and replaced faster than it can be reviewed. Automated tests are generated as side artifacts of the code production, which raises the question of testing AI-generated code before it reaches production. For teams that adopt agentic AI in software […]

Michael Bodnarchuk

Aug 28, 2026

planning-models-table

AI testing comparison Explorbot review

Comparing Planning Models for an AI Agent for Test Automation: Qwen, Gemma, MiniMax and Luna

Every AI agent for test automation runs on a model. Your choice of model affects the quality of your tests and the price. If you choose the wrong model, you pay more for worse results. We tested four models in Explorbot’s most important slot. It is the part that plans the tests. In the end, […]

Michael Bodnarchuk

Aug 14, 2026

explorbot-cover-slots

AI testing comparison Explorbot review

Poolside AI Review: Running Laguna Models in Explorbot QA Agent

Testing a web app by hand takes time. You have to open every page, click through it, try the odd inputs, and note what breaks. It is slow work, and it is easy to miss things. Explorbot does it for you. What is Explorbot and How It Works Explorbot is an open-source QA agent that […]

Michael Bodnarchuk

Aug 07, 2026

vibe-coding

AI testing automated testing testing types

Vibe Coding: How to Test AI-Generated Code Before It Reaches Production

Vibe coding is the practice of describing what you want in plain language and letting an AI assistant generate the code. Tools like Cursor, Replit, GitHub Copilot, and Google AI Studio brought this coding approach to millions of developers in 2025. It makes building software dramatically faster, but it creates a new problem: how do […]

Vitaliy Mikhailyuk

Jul 28, 2026

what-is-sdet-cover

AI testing automated testing Insights qa process test automation

What is SDET? Software Development Engineer in Test Explained

You opened three SDET job listings, and each one reads like a different role. The first wants Selenium and Java. The second asks for Playwright with TypeScript. The third lists Kubernetes alongside test design and CI pipelines. So what does an SDET actually do, and is this the path you want to grow into? In […]

Tetiana Khomenko

Tetiana Khomenko

Jul 09, 2026

multi agent steps

AI testing ci\cd MCP playwright

Multi-Agent AI Testing with Claude Code & Playwright Test Agents

You ship a feature. Someone writes a manual test case in a spreadsheet, and someone else automates it later. The spec drifts from the manual case. The manual case drifts from the product. Nobody knows what’s actually covered. I wanted to fix that entire chain, not by hiring more people, but by rethinking who (or […]

Oleksandr Bazurin

Oleksandr Bazurin

Jul 07, 2026

AI testing MCP playwright

Playwright MCP & n8n: AI-Powered Agentic Orchestration Tutorial

AI is quickly changing how QA teams work due to its growing popularity, ease of use and adoption. The latest stage in the evolution of software testing is the independent AI agents that help software testers amplify their productivity by automating a variety of routine tasks, from test design to execution. Such agents can work […]

Jul 04, 2026

Testomat.io MCP Integration

AI testing MCP qa process

Building an AI-Powered Test Case Drafting Skill with Testomat.io MCP

Writing manual test cases is one of those tasks that feels straightforward until it isn’t: every QA engineer on your team formats things slightly differently, context gets lost between features, and coverage gaps show up only when something breaks in production. My team solved this by building a reusable AI skill called test-case-drafting-template. This’s a […]

Daria Tsion

Jul 03, 2026

Continuous penetration testing software interface with a security shield icon

AI testing api testing automated testing ci\cd DevOps test management testing guides

Continuous Penetration Testing: Guide for QA and DevOps Teams

When your team deploys code every day, you trust your CI pipeline to catch the bugs. You run unit tests, integration tests, and code reviews. But there’s a scenario most security programs haven’t been ready for. Continuous deployment moves faster than your pentest schedule the moment your team starts to scale.

Tetiana Khomenko

Tetiana Khomenko

Jun 04, 2026

Explorbot

AI testing Explorbot

Automated Exploratory Testing: How Explorbot Tests Your App on Its Own

For years, we treated automated tests as a regression safety net. That is what they are good at. The problem is simple: a test only walks the path you wrote for it. Hardcoded. Repeatable. Blind to anything outside the script. A test can pass on a screen where a real user is hopelessly lost, because […]

Michael Bodnarchuk

May 20, 2026

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