Based on real QA scenarios. About what happens when AI-generated metrics replace real testing, and the quiet engineer in the back row has been running his own numbers the whole time.
Act 1: The Review Meeting
I was sitting at the back of the long table, a ThinkPad in front of me, screen dimmed.
On the big screen, Zhang Lei was presenting the acceptance data for his "AI Automated Testing Platform." His delivery was smooth. Every slide was a beautiful chart — coverage trends, automation rate improvements, regression testing time curves. All three lines pointed up and to the right, exactly like the textbook ideal curves.
"In the past three months, the AI testing platform has executed 47,000 test cases, achieving 97.3% functional coverage. Regression testing time has dropped from 12 hours to 2.1 hours."
