What Is Agentic QA Testing?

Agentic QA testing is a paradigm in which AI agents autonomously plan, create, execute, and maintain software tests with minimal human intervention. Unlike traditional test automation, where humans write and maintain test scripts, or even AI-assisted testing, where AI helps generate test code that humans review and run, agentic QA places the AI agent in the driver's seat of the entire quality assurance loop. An agentic QA system does not wait for instructions. It observes code changes, determines what needs to be tested, generates appropriate tests, runs them against the application, interprets the results, and takes corrective action when tests fail. The human role shifts from authoring and execution to oversight and judgment: reviewing the agent's work, setting quality policies, and handling edge cases that require domain expertise. This represents the next step in the evolution of testing, from manual, to automated, to AI-augmented, to fully agentic. How Agentic QA Testing Works An