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When AI Writes Your Tests: What We Tried, What Failed, and What We Kept (from the Omniit.ai QE Team)
A few sprints back, we merged a pull request with 60+ Playwright tests the LLM drafted in under 20 minutes. Dazzling velocity—until CI exposed three flaky selectors, two hallucinated API calls, and a “happy path” that never asserted the real business outcome. That’s the day we wrote a new rule on the whiteboard: AI can […]
AI-Driven User Behavior Simulation for E-Commerce Quality Engineering: From CI/CD to Full SDLC Integration
E-commerce success today depends on releasing features at a rapid pace while preserving a flawless user experience. Traditional automated tests often fall short because they simulate only predictable paths — not the messy, varied behaviors of real customers or the increasingly sophisticated bots that interact with retail platforms. AI-driven user behavior simulation offers a step-change […]
AI-Driven Test Maintenance and Failure Analysis: Lessons from the Trenches
You don’t need to rewrite your entire framework to benefit from AI.You just need the right strategy — and a few battle scars to know where to begin. The Turning Point: Maintenance Was Eating Us Alive If you’ve been managing a large test automation system for years, you probably know the pain I’m about to […]
6 Urgent Challenges QE Leaders Must Defeat Today
Can Quality Keep Up with AI? Let’s face it: AI is no longer the future. It’s already here. It writes our test cases, flags our defects, and even decides what gets deployed! However, while AI has accelerated software development like never before, it has also opened up a Pandora’s box of new risks — from […]
15 ChatGPT Features Every QA and QE Engineer Should Use
Are you truly utilizing ChatGPT in the professional way? Imagine a world where your most tedious QA tasks—painstaking test-case design, endless regression checks, and manual defect triage—are handled by a tireless AI assistant that never sleeps and constantly learns. With ChatGPT-powered QA & QE revolution, where advanced prompt techniques, personalized memory, smart plugins, and code-execution […]
Quality Engineering is Serious Business : Why QE Matters More Than Ever For AI
In today’s fast-moving AI landscape, a data skew or model glitch can cost millions in lost revenue and damaged brand reputation. According to IBM, the global average cost of a data breach hit $4.88M in 2024, and AI-driven systems present even more complex risks. For engineering leaders, investing in Quality Engineering (QE) around AI is […]