LaunchDarkly

Meet LaunchDarkly

LaunchDarkly uses feature flags and targeting rules to control application behavior at runtime. A team can enable a change for selected users, roll it out gradually, or compare variants in an experiment. Monitoring and rollback controls connect release decisions with what happens in production.

The platform also supports AI applications and agents through prompt and model experiments, evaluations, tracing, and runtime controls. Teams can compare configurations and adjust how traffic reaches them. Separating deployment from feature availability gives developers room to ship code while making a distinct decision about when a behavior becomes available and how broadly it should run.