LaunchDarkly
Feature management and release control for software and AI agents
About LaunchDarkly
LaunchDarkly provides feature flagging, progressive rollouts and experimentation so engineering teams can release and roll back software changes safely. It has extended the platform to control the behavior of AI agents and LLM-powered features in production.
Common use cases
- Safe software releases
- Controlled LLM feature rollout
- A/B experimentation
- AI agent governance
Products and services
CodeControl
Feature flags, rollouts, rollbacks, observability and experimentation
AgentControl
Evals, playground, traces, approvals and RBAC for AI agents
Release Autopilot
Automates flagging, rollouts, rollbacks and cleanup
Key features
- Feature flags
- Progressive rollouts
- Automated rollbacks
- Experimentation
- AI agent evals
- Role-based access
- Audit trails
Integrations
- AWS
- GitHub
- Datadog
- Slack
- Jira
- Terraform
LaunchDarkly alternatives
- SPSplit
- STStatsig
OptimizelyDigital experience platform with content, experimentation and AI agents
- UNUnleash
FAQs
What does it do?
It manages feature flags and releases for code and, more recently, AI agents.
Who is it for?
Engineering and product teams at mid-size and large companies.
Does it support experimentation?
Yes, experimentation is part of the CodeControl product.
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