Bring the speed to test execution using QA flow Run all feature

As a QA Engineer, I’ve spent countless hours executing scenarios, logging bugs, documenting details, and discussing issues with the team. One bug can easily derail the flow—leaving the remaining scenarios sitting in the backlog. By the time I circle back, I’m already running behind, on the remaining 19 scenarios with multiple test cases. I would need to take a coffee break after the execution of that 1 scenario and then come back and the same loop goes on for the remaining ones. Unless I get that rare bug-free run (a developer’s dream, not mine!)

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With AI in the QA workflow, the biggest game-changer I’ve noticed is speed. Automation scripts were meant to save time, but maintaining legacy code, refining old scripts, and constantly updating them as features evolve often made testing even more time-consuming. That’s why I’ve leaned into QA flow—it simplifies execution without any baggage.

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Understanding the Run all feature ☕

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Let’s take the same example: this time using QA flow. I have 20 scenarios. After carefully editing my test cases and saving those changes, I select Run all and grab coffee.As I leave my desk- the scenarios have started execution. I make my way into the coffee area- there are bugs observed and bug tickets have already been created on Jira/ Linear. I position my cup directly under the spout where the coffee will drip, on the drip tray- the 10th test scenario has already been executed. In the time it takes to fill a coffee cup, QA flow has executed 18 scenarios; by the time I take my first sip, all 20 are done.

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Now, instead of being buried in repetitive execution, I can focus on what really matters: analyzing bugs, refining edge cases, and driving conversations that improve product quality.

QA flow doesn’t just save time it shifts QA from being a bottleneck to being a strategic driver of quality all while you sip your coffee (or drink of your choice).