Bugged_But_Haapy

Chaos Testing for Automation Engineers Why automation passes in CI but fails in production ⏱ Reading time: 10–12 minutes Most automation engineers have experienced this moment: All test cases are green. Pipelines are passing. Confidence is high. And then production fails. This blog explains why that happens — and how Chaos Testing , inspired by Anti-Gravity thinking, helps automation engineers test reality instead of assumptions. Why Automation Testing Often Gives False Confidence Automation scripts usually validate: Stable environments Correct inputs Predictable flows Fast responses But real systems don’t behave this way. Production systems face: Network delays Service timeouts Partial failures Unexpected user behavior Chaos Testing exists to simulate these conditions intentionally — before users experience them. What Is Chaos Testing (In Simple Terms) Chaos Testing is n...

Google Anti-Gravity Thinking in Software Testing A practical mindset that prepares testers to break systems the right way Software testing is often taught as a structured activity. Write test cases. Follow steps. Verify expected results. Mark Pass or Fail. This works well in training environments — but real users don’t behave this way. They don’t read requirements. They don’t follow flows. They don’t wait patiently. They click early. They click repeatedly. They lose network. They rotate screens. They refresh pages. And when this happens, many applications fail silently. That is why production bugs exist. To catch these bugs early, testers must think differently. They must think beyond rules. They must think beyond assumptions. This is where Anti-Gravity Thinking becomes powerful. What Is Anti-Gravity Thinking in Testing? Google Anti-Gravity is a visual experiment where UI elements do not stay fixed. They float. They move. They fall out of place. In...

Becoming a Complete QA: Mindset, Strategy & Continuous Growth Becoming a Complete QA: Mindset, Strategy & Continuous Growth Final part of the “10 Days of QA — From Beginner to Expert” Intro — The title says “complete QA,” but here’s the truth — no QA is ever complete. A good tester is always evolving. Tools change, frameworks change, but your mindset — that’s what defines your journey. Today, we’ll step back from scripts and dashboards to talk about something deeper: how to build a career and reputation as a QA professional who’s respected, trusted, and always improving. 1️⃣ The Real Job of a QA Ask a new tester what QA means, and you’ll hear: “Finding bugs.” Ask an experienced QA, and you’ll hear: “Preventing them.” But ask a complete QA — and they’ll say: “Ensuring value and confidence.” Your job isn’t to catch mistakes; it’s to represent the user, challenge assumptions, and ensure the product does what it *promises* to do — unde...

Will AI Replace QA? Not If You’ve Met Me Will AI Replace QA? Not If You’ve Met Me “So... are you worried about AI taking your job?” That’s what my cousin asked me right after ChatGPT helped her write a break-up text. 😐 I laughed. Because honestly, if AI can’t even end a relationship without sounding like a LinkedIn post, I think my job as a QA tester is safe — for now. 👩‍💻 The Great Panic: Testers vs AI? It’s 2025. Your dev team just dropped a buggy build at 6 PM. Your PM is on vacation. And someone, somewhere, just whispered: “Can’t AI just do the testing now?” Welcome to the golden age of confusion. Tools like TestGPT, Copilot, Mabl, and Scriptless Testing are promising to: Generate test cases Write code Find bugs Make coffee (well, not yet...) But here’s the truth: AI isn't here to replace us. It's here to remind us we’re more than button-clickers. 💡 The Old Way vs The Ne...

In many tech companies, QA gets blamed when a release is delayed. But what if QA isn't the problem? Let's look at real-world examples that reveal the actual root causes behind delays — and why it's time to stop blaming QA. Example 1: Incomplete Build Handed to QA A SaaS company rushed a build to QA with broken login and missing APIs. QA found several critical issues immediately. Leadership still wanted a demo to the client. Outcome: Release delayed 5 days. QA was blamed. Later, devs admitted the build was not ready. Example 2: Late Requirements, Last-Minute Testing A banking product team finalized requirements 10 days into a 14-day sprint. Devs worked overtime and gave QA 1 day for testing. Outcome: 3 critical bugs caught, release delayed, QA blamed — but the issue was poor planning. Example 3: Missing Unit Tests by Developers A logistics startup skipped unit testing. QA spen...