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Is Your AI Biased? How to Test for Fairness in 2026 with Sample
In the world of finance, a biased AI isn’t just a technical flaw, it’s a business risk with real regulatory and reputational stakes. As a seasoned QA leader, I’ve seen our industry evolve: in 2026, ensuring fairness in AI is as critical as validating accuracy or uptime. Senior engineers and quality professionals can no longer […]
Guide to Selecting AI-Powered Testing Tools for Modern Automation Frameworks
AI-powered test automation isn’t the problem. Choosing the right way to adopt it is. Engineering leaders are flooded with AI testing platforms promising speed, intelligence, and lower cost — yet many teams still struggle to turn those promises into real production impact. The challenge isn’t capability. It’s decision timing and fit. There is no universal […]
Meaningful QA/QE in 2026: Why LLM Evaluation Literacy Is Now a Core Skill (and How to Build It)
Here is the uncomfortable truth: your “green CI” doesn’t mean your AI feature is safe to ship! If you’ve ever shipped a release where automated tests were green… and production still lit up, you already understand the heart of the LLM era: That’s why LLM evaluation isn’t an “ML team thing.” It’s the next evolution […]
QAOps and Continuous Testing: Embedding Quality in CI/CD with AI
Software teams love to talk about speed, but nobody wants to talk about the cost of going fast. Releases pile up, pipelines grow increasingly complex, and quality becomes a silent tax—felt only when production issues erupt or customer trust slips away. That’s exactly why QAOps has surged to the forefront. It reflects a shift from […]
QA First — Not Last: Why AI Should Spark a Return to Quality-Focused SDLC, Not a “Ship and Hope” Culture
When I read articles claiming that “QA will be the last job standing in the age of AI,” I nod, not because I believe QA is magically immune to automation, but because I believe proper QA has always been a safeguard. The reality is not that AI saves QA; it highlights how many organizations never […]
Defining and Monitoring Quality Metrics in an Agentic RAG QE System
It is easy to fall in love with shiny AI testing dashboards. They glow with promise: self-healing tests, intelligent agents, adaptive pipelines. But the fundamental question we need an answer is: Is all this intelligence actually making quality better? That’s the question I had the first time our RAG-based test agents started generating their own […]