Continuous profiling using Grafana Cloud Profiles significantly enhanced code performance for a new feature in Grafana Loki, an open-source log aggregation system. The author, initially unfamiliar with continuous profiling tools, used Grafana Cloud Profiles, powered by Pyroscope, to analyze CPU usage and discovered that excessive time was spent on fmt.Sprintf calls within a loop. By moving these calls outside the loop, the application's runtime was reduced by 30%, demonstrating the tool's effectiveness in optimizing performance. Despite the author's lack of prior experience, Grafana Cloud Profiles proved intuitive and efficient, allowing for substantial improvements in under 10 minutes. This experience highlighted the potential of continuous profiling to streamline development processes and optimize future features, encouraging the integration of such tools into routine workflows.