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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COVER

AI testing Insights MCP qa process test management

Manual 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. This acceleration is valuable. But it creates a […]

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

what-makes-explorbot-so-fast

AI testing Explorbot

What makes Explorbot so fast

Explorbot is an open-source AI agent that explores web applications on its own. The first question people ask when they watch it run is always the same: how does it think so fast? They expect AI tools to be slow, hungry, and expensive. Explorbot is none of those things. The short answer is that Explorbot […]

Michael Bodnarchuk

May 20, 2026

HIPAA-Compliant-Testing

AI testing testing tool

Best HIPAA Compliance Software & Guide for QA Engineering

Healthcare data doesn’t forgive mistakes. A misconfigured access control, an untested workflow, an unreviewed policy any one of these can turn into a HIPAA violation, a breach notification, and a fine that dwarfs whatever was saved by cutting corners on compliance. The organizations that stay compliant aren’t necessarily the ones with the biggest legal teams; […]

Tetiana Khomenko

May 06, 2026

AI for QA

AI for Quality Assurance: Automating Modern Testing Workflows

QA teams are drowning in repetitive work: writing test cases from scratch, maintaining outdated test suites, hunting for coverage gaps across hundreds of features. AI in quality assurance shifts where your time goes. Instead of generating boilerplate test cases manually, QA engineers spend their hours reviewing what AI drafts, catching edge cases the model missed, […]

Vitaliy Mikhailyuk

Apr 24, 2026

Autonomous-testing

AI testing testing guides

Autonomous Software Testing: Tools, AI Models & Guide 2026

Most test automation still requires a human to write every script, maintain every selector, and decide what gets tested. Autonomous testing refers to something different: software testing where AI handles the generation, execution, and analysis of tests without step-by-step human instruction. That’s a meaningful distinction. Traditional test automation automates the execution of tests a human […]

Mykhailo Poliarush

Apr 21, 2026

Generative AI Testing

Generative AI in Software Testing: Practical Guide & Strategies

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, 2026

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