From Manual QA Bottleneck to Daily Releases

A 10-person development team relied on one manual tester for the entire QA process. Regression testing was manual and time-consuming. Test cases were often created late because there was not enough time, while Xray documentation required significant manual effort.

The tester was fully occupied and QA had become a bottleneck.

The goal was not simply to automate tests. The goal was to establish a scalable QA process that the team could own.

I introduced an early-testing approach where test cases were considered together with the User Story. I defined the appropriate test scope together with the team, designed the automation approach, implemented the test framework, integrated reporting and connected the workflow with Jira/Xray and CI.

The team was enabled throughout the process so that automation and test design would not remain dependent on one person.

I built a Robot Framework-based automation framework integrated with GitLab CI. The solution automated approximately 200 tests and integrated the results with Jira/Xray.

The team was enabled to understand test design and maintain and extend the automation independently. The focus was therefore not only automation, but also process, architecture, and team capability.

The transformation took approximately one year because it included more than test implementation: QA process redesign, automation architecture, CI/Xray integration, and team enablement.

At the time, automation code was largely written manually. Today, I use AI-assisted development to accelerate comparable implementation work. For a similar scope, I estimate approximately two months of implementation work independently.