AI-Driven Application Understanding in Autonomous QA
Quick Recap from QA Evolution: From Manual to AI In the first article of this series , we explored how Quality Assurance is evolving from traditional manual and script-based testing to AI-driven autonomous testing systems . We introduced the concept of an Autonomous QA AI Agent architecture , where multiple specialized agents collaborate to explore applications and understand system behavior before testing begins. If you missed the first article, you can read it here: 👉 QA Evolution: From Manual to AI In this article, we will explore how these agents work together to analyze an application and build the intelligence required for autonomous testing. Understanding the Application Before Testing Before automated testing can begin, a system must first understand the application itself . Modern applications are dynamic. They include: complex UI components multiple navigation paths authentication flows APIs and dynamic content Traditionally, QA engineers explore applications manua...