Recent discussions highlight a shift in software development towards "probabilistic engineering," driven by AI coding tools that emphasize confidence levels over binary correctness. This evolution necessitates a focus on triage, selection, and validation processes, as teams adapt to continuous workflows enabled by AI agents. The implications suggest a fundamental change in how testing and quality assurance are approached in software development.