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

As a QA Engineer, I’ve spent many hours running tests, logging bugs, writing 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 behind on the remaining 19 scenarios with multiple test cases. I would need a coffee break after running that one scenario, then come back and repeat the same loop for the rest.

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 and updating scripts as features changed often took more time than the testing itself. That’s why I’ve leaned into QA flow — it simplifies execution without any baggage.

Understanding the Run all feature

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 walk toward the coffee area, bug tickets are already being created in Jira or Linear. I place my cup under the spout. The 10th test scenario has already run. In the time it takes to fill a coffee cup, QA flow runs 18 scenarios. By my first sip, all 20 are done.

Now, instead of getting stuck in repetitive work, I can focus on what matters most: analyzing bugs, refining edge cases, and leading conversations that improve product quality.

QA flow saves time and shifts QA from a bottleneck to a strategic driver of quality — all while you sip your coffee, or a drink of your choice.