Release changes to 1% of users first. If guardrail metrics breach, LaunchDarkly rolls back automatically—no 2 a.m. wakeup call.
Runtime Control · AI Behavior · Self Healing
Automatically detect, understand, and fix issues in production.
Failing code and misbehaving agents?
Detect regressions early, understand what changed, and automatically roll back behavior or push fixes — without redeploying.
Book your personalized demo
By supplying my contact information, I authorize LaunchDarkly to contact me with personalized marketing communications about our products and services. See our Privacy Policy for more details, or Opt-Out at any time.
Trusted by engineering teams at
Release with guardrails that prevent issues before they spread.
Self-healing starts before things break. Define what “healthy” looks like, and let your system respond automatically when something drifts.
Detect problems early. Fix them before users feel it.
Most teams find out something is broken when customers complain.
Detect issues early — and understand exactly what changed. Tie every regression to the specific release, prompt, or model causing it.
Self-healing systems turn every issue into a learning loop.
When systems detect and fix issues automatically, teams can focus on improving — not firefighting.
When investigating outages, we noted that 45% required a significant volume of traffic or involved a specific data spread that could not be replicated [in] pre-production. By tightening our use of LaunchDarkly feature flags and paying closer attention to signals related to error rate, infrastructure performance, and response time, we were able to prevent multiple outages and reduce resolution time by 50% when a flag was used compared to a classic deployment.
AlayaCare Engineering Team
Healthcare software platform · Production at scale