Feature flags provide developers with dynamic control over which users experience specific features without necessitating redeployments or restarts, enabling gradual rollouts and targeted experiments. Often confused with static flags like compile-time or configuration flags, feature flags allow for decisions on a user-by-user and session-by-session basis, thereby separating deployment from release. This strategy empowers teams to conduct controlled rollouts and experiments by directing subsets of users to different features and observing outcomes, all managed through a feature flagging service. Platforms like Split facilitate this process, offering tools for feature management, experimentation, and integration with contextual data, enabling faster, safer, and more informed deployment practices.