Thursday, 25 June, 2026
QA's New Rulebook: Adapt or Break
By TechShots Studio
Traditional quality engineering is buckling under the weight of rapid AI deployment. With applications evolving dynamically, static testing methods fail to protect enterprises from critical operational risks. Surviving this shift requires a new breed of quality assurance—one built on autonomous, self-learning platforms that predict bugs and automatically maintain test cases to keep pace with fluid, model-driven software.
Read full story at CIO ECONOMIC TIMES