Feature flags enable developers to safely experiment in production by controlling the extent of changes, which fosters innovation and quicker iteration cycles. This approach enhances the developer experience by supporting data-driven decision-making and cost optimization, allowing for a more flexible and effective development process. Experimentation, a common practice in business, allows developers to iterate and improve without risking large-scale negative impacts on production environments. Understanding what constitutes normal performance in applications is challenging, as performance optimization requires input from various stakeholders, including developers and performance engineers. The dissemination of performance and cost information, often locked away by finance departments, is crucial for effective optimization, highlighting the importance of methodologies like FinOps. Platforms like Harness support a positive Developer Experience by enabling efficient development cycles and improving key metrics such as deployment frequency and change failure rate, ultimately nurturing innovation and productivity among engineers.