In 2026, QA engineers are no longer just writing test cases and executing regression suites. They are designing prompts, validating AI-generated scripts, reviewing model outputs, and working alongside intelligent agents that assist in defect prediction, test optimization, and log analysis. The real question today is not: “Should QA engineers use generative AI?” The real …
Software testing is evolving faster than ever. Automation alone is no longer enough. In 2026, intelligence will separate average testers from strategic quality engineers. Three technologies are shaping this transformation: Retrieval-Augmented Generation (RAG) AI Agents Model Context Protocol (MCP) Understanding these approaches is no longer optional. It is becoming essential for professionals working in …
RAG vs AI Agents vs MCP: Which GenAI Approach Should QA Engineers Learn in 2026? Read More »
Machine learning content online usually falls into two buckets: short lists that feel like trivia, or long encyclopedias that don’t help you decide. In 2026, the real skill isn’t memorizing model names—it’s choosing the right learning setup, selecting a baseline, and validating results so your system stays reliable when data shifts. Machine learning is …
Machine Learning Algorithms List (2026): Types, Use Cases & Examples Read More »
Most Selenium suites don’t fail because Selenium is “old” or because UI automation is “inherently unreliable.” They fail because teams use the UI for the one thing it’s worst at: building test state. If your test starts like this… Open browser → login → create customer → create order → navigate five screens → …
In 2026, the biggest shift won’t be “AI can generate test cases.” That’s already table stakes. The shift will be this: quality becomes a measurable, AI-augmented system—or it becomes the bottleneck. The World Quality Report 2025–26 puts a number behind what many QA leaders are already sensing: Generative AI is now the top-ranked skill …
2026 Guide: Generative AI Trends in Software Testing + What Changes Read More »
If your Playwright suite is “green locally, red on CI,” here’s the uncomfortable truth: Your tests aren’t flaky. Your popup strategy is. Cookie banners, newsletter modals, chat widgets, “rate your experience” overlays, payment windows, login providers—popups are not edge cases anymore. They’re part of the product. And when we treat them like surprises, we …
Playwright + AI-Assisted Pop-Up Handling Recipes Read More »
Introduction E-commerce applications are highly dynamic systems. Prices change based on location. Inventory updates in real time. Promotions impact checkout instantly. Because of this complexity, interviewers prefer scenario-based automation testing questions over theoretical ones. They want to understand how you think, how you design automation, and how you handle real-world challenges. This article presents 15 common e-commerce automation scenarios with clear, step-by-step answers that are …
How to Write Automation Test Scripts from Scenarios (15 E-Commerce Examples) Read More »
GenAI can accelerate test design, maintenance, and failure triage—but it also introduces new risks: hallucinated assertions, hidden flakiness, and privacy/governance gaps. The QA teams that win in 2026 won’t be “the ones using AI.” They’ll be the ones who can engineer trust: grounded context, constraints, verification gates, and observable evidence. Why 2026 feels like …
Gen AI in Software Testing: Benefits, Limits, and the New QA Skillset for 2026 Read More »
Learn how to build reliable Playwright automation tests in 2026 using the Zero-Flake strategy. This guide covers stable setup, locator best practices, CI reliability, first test implementation using the Leaftaps OpenTaps demo site, and scalable Playwright framework design. Introduction: Why Reliable UI Automation Matters in 2026 Choosing a UI automation tool is no longer …
Playwright Testing in 2026 — The Zero-Flake Setup Guide Read More »
AI in test automation is at an awkward stage: everyone claims “AI-powered,” but most teams still fight the same three enemies: Flaky failures that waste hours Slow triage (“is this a product bug or a test issue?”) Coverage blind spots (we test a lot… but not necessarily what matters) This article is not a …
