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 · Progressive Delivery
AI changed how software ships. Stay in control after it does.
The challenge is no longer writing code quickly—it’s controlling what that code does in production.
LaunchDarkly gives you runtime control over what’s live to help you ship AI changes safely, observe behavior in real time, and recover instantly when things break.
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Trusted by engineering teams at
Release
Release AI-generated code with confidence.
When AI tooling generates a PR in minutes and merges it in hours, your release process becomes the bottleneck.
LaunchDarkly moves the safety layer to runtime, so your team can ship continuously without betting production on every deploy.
Observe
Detect problems early. Fix them before users feel it.
Most teams find out something is broken when customers complain.
LaunchDarkly enables a self-healing system that detects degraded performance, halts problematic changes, and rolls back unsafe behavior automatically.
Iterate
Test and optimize in production—without redeploying.
AI-driven features behave differently in production than they do in staging.
LaunchDarkly lets you test prompts, models, and agents in real traffic. Measure impact and promote the best version without touching code.
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