Vibe Loop is an emerging model in reliability engineering that emphasizes a proactive, AI-native feedback loop for improving production systems by integrating code writing, observation, learning, and rapid improvement. Unlike traditional systems that are often reactive, Vibe Loop uses AI to automatically generate and improve instrumentation, surface blind spots, and adapt telemetry, allowing developers to work more efficiently by providing insights and actionable suggestions. This concept incorporates "vibe coding" and "vibe ops," where AI aids in tasks traditionally handled by engineers, such as diagnosing issues and suggesting code changes, facilitating a more seamless and continuous workflow without the need for extensive manual intervention or documentation. Although not a standalone tool, Vibe Loop represents a shift towards more intelligent systems that collaborate with engineers to enhance reliability and reduce toil, ultimately offering a dynamic way to handle complex production environments.