Generative AI has sped up code development, but traditional testing methods haven't kept pace. Manual testing can't handle the rapid release of new features or effectively assess AI-generated outputs. To address this gap, Datadog has acquired Propolis, an autonomous quality assurance platform that focuses on goal- and output-oriented testing. Propolis uses synthetic users to navigate applications, identifying real user journeys and verifying outcomes that standard tools often overlook. This capability allows it to detect errors in complex, dynamic environments and automatically update tests without human input. The integration of Propolis with Datadog enhances the testing process by providing deeper production context through logs, traces, and Real User Monitoring (RUM) data. This combination allows testing to evolve from a static pre-release checkpoint to a continuous process within the CI/CD pipeline. Propolis's agents can understand user intent based on actual application usage rather than just design specifications. This shift means quality assurance becomes an ongoing aspect of development, aligning more closely with the rapid deployment cycles driven by modern software practices.