Latest Blog Posts
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 […]
How to Start Your Own AI Testing Agent
Imagine having an intelligent, tireless teammate who never sleeps, works relentlessly, learns continuously, and improves testing efficiency by leaps and bounds. This digital teammate isn’t human—it’s an AI Testing Agent. Essentially, an AI Testing Agent is software leveraging artificial intelligence such as Generative AI and machine learning to autonomously generate, execute, and adapt testing scenarios. […]
Beyond Bug Counts: How AI Transforms Software Quality Measurement
Traditional software quality metrics—manual test execution, defect density, code coverage—are crumbling under modern system complexity. Artificial Intelligence (AI) is shifting quality measurement from static snapshots to dynamic, predictive systems that proactively prevent defects and quantify user experience. This guide is tailored for Engineering Managers and QE leaders who want to future-proof their measurement practices and […]