QA Engineering

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QA Engineer

Testing Beyond Pass or Fail: A QA Engineer’s Lessons from IMDA’s LLM Testing Starter Kit at Spritle

I’ve been in QA for a few years now. I know how testing works. You write a test case. You define the expected result. You run it. It either passes or fails. Simple. So when our team started working on an AI-powered feature, I thought, okay, same process. Different kind of input, but same idea. […]

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From Traditional QA to AI Assurance and Governance

Breaking the Black Box: From Traditional QA to AI Assurance and Governance

I recently had the opportunity to review IMDA’s Starter Kit for Testing LLM-Based Applications for Safety and Reliability. As someone who has spent over 14 years in Quality Assurance, I was curious to see how established testing principles are being adapted to address the unique challenges introduced by Large Language Models (LLMs). What I expected

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Breaking the Black Box: From Traditional QA to AI Assurance and Governance

Testing for Trust: What IMDA’s LLM Testing Starter Kit Teaches Us At Spritle About AI Assurance

Breaking the Black Box: From Traditional QA to AI Assurance and Governance I recently had the opportunity to review IMDA’s Starter Kit for Testing LLM-Based Applications for Safety and Reliability. As someone who has spent over 14 years in Quality Assurance, I was curious to see how established testing principles are being adapted to address

Testing for Trust: What IMDA’s LLM Testing Starter Kit Teaches Us At Spritle About AI Assurance Read More »

modern load testing with k6

Exploring Modern Load Testing with k6 – A QA’s Practical Journey

Introduction While many testers today are exploring AI tools, I focused on understanding how applications behave under real-world load conditions.. As a QA engineer, my focus has mostly been on functional testing. But one important question always stayed in my mind: What happens when multiple users access the system at the same time? Will the

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Why I’ll Never Manually Write Test Scripts Again (And You Shouldn’t Either)

If you’ve spent any time working in test automation, you know the drill: We start every project with the best intentions — promising ourselves we’ll write clean, maintainable code But fast forward a few months, and we’re spending half our week fixing flaky tests, hunting down brittle locators, and dealing with “duplicate email” errors in

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AI-Powered Antigravity: Accelerating Selenium + Cucumber Automation

Introduction: Automation testing promises speed and reliability, but writing and maintaining scripts manually is time-consuming. Engineers often spend hours creating XPath selectors, building Page Object classes, and fixing flaky waits. Antigravity, an AI-powered coding assistant built on Google DeepMind’s agentic technology, aims to simplify this process. We tested it in a real Selenium + Cucumber

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