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AI as a Co-Pilot for Modern Quality Engineering
This source outlines how artificial intelligence acts as a powerful co-pilot to enhance traditional software quality assurance without replacing human expertise. By implementing AI-driven solutions, engineering teams can resolve common obstacles such as brittle test scripts, repetitive data generation, and overwhelming defect reports. The text details specific benefits like self-healing locators and intelligent test prioritization, which streamline the development cycle and increase overall stability. Furthermore, it emphasizes a hybrid model where human judgment remains essential to oversee ethical risks, such as algorithmic bias or security concerns.