Traditional QA slowed us down. Modern QA skipped too much. Here’s how we built a hybrid testing strategy that survives staging, accelerates sprints, and catches bugs before they cost you.
Most teams test after merge. We don’t. Here’s how branch-level QA helps us catch bugs earlier, stabilize sprints, and move faster—without sacrificing quality.
A green test suite isn’t proof of quality—it’s often a false signal. If your regression tests only validate UI elements and never assert outcomes, you’re just rehearsing. Here’s how to rebuild your suite so it actually protects production.
A meme about simple math uncovered a QA oversight most testers never check: operator precedence and logic grouping. Here’s what I learned—and why ignoring this can quietly wreck fintech apps.
Most testers only follow the tools, not the logic. This breakdown exposes where each testing methodology fits—and how to use them like someone who’s been blamed in UAT and survived it.
We didn’t just run PageSpeed and Lighthouse. We debugged QAJourney.net like any product — cross-browser, tool-by-tool, fix-by-fix. Here’s how QA thinking found what performance audits couldn’t.
Our QA job post maxed out LinkedIn’s free tier in 2 hours — but the real story is what happened next. From filtering mass-clickers to rebuilding our interview flow, here’s how we’re redefining how real testers get hired.
Sprint planning isn’t just assigning work — it’s trying to stop everything from breaking before it starts. If you’ve ever moved from QA to PM, you already know how heavy that can feel.
You don’t need to be a certified automation engineer to write useful Playwright tests. I started with local scripts, flaky results, and real QA problems. Here’s how I made automation work without overengineering it—and why manual QA still wins in 2025.
AI can boost manual testing, but only when used as a thinking assistant—not a crutch. Here’s how real QA teams are using AI to write test cases, simulate bugs, and uncover edge cases faster.
