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The latest News and Information on Software Testing and related technologies.

Static Data Masking vs. Dynamic Data Masking: What's the Best Approach?

Data masking comes in different forms: dynamic vs. static masking. Each has its own characteristics, use cases, and methods for data protection. But when it comes to comprehensive, consistent protection, static data masking rises above. In this blog, we’ll break down where dynamic data masking works, how it fails, and which use cases you need to use static masking for.

7 Ways to Monitor Critical User Flows on Your Website

Your website’s critical user flows are the lifelines of your business. A single broken button or unexpected error can send users packing — and that means lost revenue and a damaged reputation. Yet a lot of teams still rely on sporadic manual checks or basic uptime monitoring. The problem? Revenue-draining bugs love to hide in complex UI interactions that only show up under real browser conditions.

How a Marketing Intern Ended Up Running Claude in a Terminal

Before I ever ran Claude in my terminal, I thought I already understood AI tools pretty well. Like most people, I had used ChatGPT, Google Gemini, and Perplexity for everyday tasks. Such as helping with schoolwork, organizing ideas, summarizing information, or getting through something faster when time was tight. They were useful, but they still felt separate from how real work happened.

Quality People: From Scripts to Harnesses, the Evolution of Agentic QA

Play Quality People - Huy Tieu: The Evolution of Agentic QA: From scripts to Harnesses 17: 18 A conversation with Huy Tieu, Senior Product Manager at Katalon, on why the scripted testing model broke, what replaces it, and the one experiment every QA leader should run this week. The term "Agentic QA" is everywhere in 2026. Gartner predicts 40% of enterprise applications will feature task-specific AI agents by year's end, up from under 5% in 2025.

Playwright Flaky Tests: The 2026 Fix Playbook

Five diagnostic patterns. One decision tree. A senior practitioner's triage playbook for Playwright flakiness in 2026. Flakiness is architectural, not framework-borne: Almost every flake traces back to async state, locator drift, session pollution, environment variance, or AI-agent non-determinism — not to Playwright itself.

How to Make the Most of AI Tools for Modernization

AI tools promise speed — but what does AI modernization actually mean in practice? In this video, learn how the best AI tools can accelerate application modernization without increasing risk. We cover how AI tools analyze large legacy codebases, support refactoring, and speed up modernization—when paired with expert human oversight. You’ll learn: Whether you’re exploring AI tools or already modernizing, this video shows how combining AI acceleration with experienced engineers leads to better outcomes.

New Zephyr Skills for Rovo: AI-powered test management in Jira | Zephyr

Release day shouldn't mean chasing answers across Jira. SmartBear Zephyr is the Jira-native testing system of record that empowers your team to deliver better software, faster. In this demo, see how Zephyr Skills for Rovo bring test management and automation insights directly into Jira. Connect planning, testing, and delivery in a single, unified workflow within the Atlassian system of work so your team can make faster, more confident release decisions.