Bugged_But_Haapy

🚀 How AI is Changing QA: A Tester’s Story You’ll Relate To 🚀 How AI is Changing QA: A Tester’s Story You’ll Relate To I still remember my early days in QA. Running the same regression suite again and again. Fixing broken Selenium locators every time the dev team changed a button name. Spending hours staring at logs to figure out if the failure was in the code, the environment, or just a flaky test. Sound familiar? 😅 That’s the reality many testers live in today. But here’s the twist: AI is quietly becoming the teammate we didn’t know we needed. Let me show you how. 1. 📝 Smarter Test Case Design — Without Guesswork Back in 2018, I worked on a retail app where checkout was always buggy. But our test cases treated checkout the same as other flows. Result? Production bugs. Now imagine AI analyzing production logs and telling you: 👉 “Hey, 70% of user complaints come ...

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...