Category: aifirst

May 28, 2026

How AI is changing test case generation in 2026

LLMs can now generate meaningful test cases from user stories and code. Here’s what works, what doesn’t, and how to integrate AI into your QA workflow without losing control.
May 20, 2026

Playwright vs. Cypress vs. Selenium: the 2026 decision framework

Market adoption has shifted dramatically. We analyze the latest data and help you pick the right framework for your project.
May 14, 2026

Why your ad campaigns need QA (and how to start)

Broken tracking pixels, failed renders, and misconfigured SDKs silently drain ad budgets. Here’s how to build a testing pipeline that protects every dollar.
May 6, 2026

The real cost of flaky tests (and how to fix them)

Flaky tests erode trust in your CI pipeline. Here’s our systematic approach to quarantining, root-causing, and eliminating non-deterministic failures.
Apr 29, 2026

Coaching your QA team to adopt AI safely

AI in testing isn’t just about tools — it’s about process redesign. Here’s the framework we use to train teams on responsible, effective AI adoption.
Apr 18, 2026

Building a mobile ad QA framework from scratch

A deep dive into our approach for a high-velocity mobile app portfolio: ad event validation, SDK compliance, and pre-release risk detection — orchestrated with AI.