The Path to Autonomous Testing - Anand Bagmar

Fourteen years ago, I shared my vision for the Evolution of Test Automation Frameworks in a talk titled "Future of Test Automation Tools & Infrastructure." Today, I am thrilled for two reasons: First, I've had the privilege of witnessing this evolution unfold; validating the predictions I made back then. Second, with the recent surge in AI and ML technologies within Software Testing and Test Automation, we are now closer than ever to fully realizing that vision. In this session, I’ll take you on a journey toward achieving truly autonomous automation. We’ll delve into the evolution of the test automation lifecycle — from design, authoring, and implementation to execution and result analysis — demonstrating how AI-driven tools are transforming each phase. Effective automation is valuable and not only delivers rapid insights into product quality but also brings the team inner peace, ensuring that automated tests reliably catch issues early and enable quick, informed decisions. We'll understand our past, examine our current position, identify the remaining gaps, and explore what's on the horizon. By adopting early feedback loops, shift-left practices, and intelligent, self-healing systems, we are forging a future where automation frameworks are not just faster and smarter, but also capable of delivering unparalleled quality and efficiency. Join me as we navigate the path to automation nirvana, where the future of software testing is defined by autonomy, continuous improvement, and the tranquility that comes from truly valuable automation.