LaunchDarkly AI

LaunchDarkly is the leading feature flag management platform, used by engineering and product teams to control which users see which features — enabling gradual rollouts, A/B experiments, instant kill switches, and user-specific personalisation without code deployments.

Feature flags decouple deployment from release — code can be deployed to production with the new feature hidden behind a flag, then gradually enabled for 1%, 10%, 50% of users with monitoring at each stage before full rollout. If a problem emerges at 10%, the flag is turned off instantly without an emergency deployment.

LaunchDarkly AI helps teams manage large flag inventories — identifying stale flags that should be removed, suggesting targeting rule improvements, and flagging inconsistencies between flag configurations. For organisations with thousands of feature flags, AI assistance with flag hygiene prevents technical debt accumulation.

Experimentation provides statistically rigorous A/B testing integrated with feature flags — the same flag that controls the rollout also runs the experiment, eliminating the gap between experimentation and feature delivery. AI statistical analysis surfaces experiment results with significance testing and sample size recommendations.

Personalisation uses flag targeting to show different experiences to different user segments — the same flag infrastructure used for gradual rollouts controls personalised feature variations by user cohort, company size, or custom attributes.

With customers including IBM, Walmart, and GitHub, LaunchDarkly validates at enterprise scale where thousands of flags and experiments run simultaneously.