What did your diff break? How an AI Skill finds impacted scenarios before QA

In this talk, I will explain how the Smart Camera mobile team used an AI Skill to identify test cases affected by code changes before a task was handed over to QA. We faced a recurring issue: tasks often reached testing with defects in basic user scenarios because finding the relevant test cases in Allure TestOps was time-consuming and required additional communication with QA. Our AI Skill analyzes the merge request diff, identifies potentially affected functionality, and provides developers with a list of related test cases, direct links, required test artifacts, and automation status. This enables developers to verify non-automated scenarios themselves and fix any defects within the same merge request, helping us reduce the number of acceptance bugs and task returns while making pre-QA verification a systematic part of the development process.