For years, test automation has promised efficiency, yet much of the work remains manual—creating scripts, maintaining test suites, addressing flaky tests, and adapting to constantly evolving applications. As software systems grow in complexity, traditional automation approaches are reaching their limits.

Agentic AI is redefining the future of quality engineering by introducing intelligent, autonomous agents that actively participate across the Software Development Life Cycle (SDLC). Rather than simply executing predefined scripts, these AI-powered agents can analyze requirements, generate and optimize test cases, identify risks, adapt testing strategies based on application changes, and assist in defect investigation and resolution.

This theme explores the evolution from automation to autonomy through multi-agent testing ecosystems, where specialized AI agents collaborate as requirement analysts, test designers, execution managers, defect triagers, and quality advisors. Together, they enable a self-improving testing framework that continuously learns, adapts, and scales alongside modern development practices.

Join us as we examine how Agentic AI is accelerating the journey toward “self-driving quality”—a future where testing becomes more intelligent, proactive, and resilient, allowing quality professionals to focus on innovation, strategy, and delivering exceptional customer experiences.