Runtime Control for AI-Era Software | Feature Flags & AI Agent Control | LaunchDarkly
Move at AI speed. Stay in control.
The runtime control layer for AI development, de-risking releases, and enabling systems that heal and optimize themselves.
Cost
$3,319-13.7%
Toxicity
0.1-6.0%
Model Distribution last 7d
- GPT-5.5 50%
- Claude Sonnet 4.6 35%
- Claude Opus 4.7 10%
- Text Embedding 35%
Ship AI-built code with confidence.
Progressively release changes and roll back instantly based on real-time impact.
Control and govern AI agents in production.
Automatically keep agents on track, mitigating bad behavior and steering responses in real time.
Optimize AI performance and cost.
Test prompts and models in production and dynamically route traffic to the best option.
Enable self-healing systems.
Instantly remediate failing code and misbehaving agents (without human intervention).
Experiment continuously.
Experiment with code and agents in production and optimize based on real-world results.
Code + Agents
Ship with AI that does what you expect—however you build.
Control your code in production.
Ship confidently with automatic recovery and continuous improvement built in.
- Feature Flags
- Targeting & Segments
- Progressive rollouts
- Automated rollbacks
- Feature monitoring
- Observability
- Error monitoring
- Logs & traces
- Session replay
- Auto-remediation
- Experimentation
- A/B/n testing
- Multi-armed bandits (MAB)
- Holdouts
- Warehouse native
- Self-healing
Control your agents in production.
One place to keep your agent behavior under control.
- Online evals
- Offline evals
- Adaptive triggers
- Progressive rollouts
- Agent observability
- AI Insights
- Custom judges
- LLM Playground
- LLM traces
- A/B/n testing
- Agent graphs
- Approvals
- Agent definitions
- RBAC
- Prompt snippets
- Experimentation
Platform overview
See how LaunchDarkly works.
Built for developers
and their agents.
Dive into best practices.
See end-to-end examples of building on the LaunchDarkly platform.
Go agent-native.
Learn more about working with LaunchDarkly using your agents.
Copy, paste, go.
Drop this prompt into your favorite coding assistant and get up and running with AI in seconds.
Onboard me to LaunchDarkly. Start by installing the onboarding skill: npx skills add launchdarkly/agent-skills --skill onboarding -y.
Savage X Fenty keeps shoppers engaged with rapid, reliable experiments.
LaunchDarkly gave the business teams the confidence that experiments could be run reliably and the data could be trusted.
Improvement in site performance 15%
Poka goes “flag-first” to transform its release processes and AI innovation.
If prompts were only on the backend, only the backend people could modify them. But since they're a flag in LaunchDarkly, the product managers, frontend developers, or even the designers might have access to modifying them if they want to test something out.
Dior shortens time to market from 15 minutes to instant updates.
LaunchDarkly allowed us to progressively deliver features with confidence, creating a safety net for developers.
Minutes to release < Zero
Paramount improves developer productivity.
It’s one of the 'three legs of the stool,' as I like to say. One leg is CI/CD, another is automated testing, and the third is LaunchDarkly.
Deployments per day 6-7
Hireology builds safe, scalable AI features.
In less than 13 seconds, I can test 3 verticals, 10 tests each with LaunchDarkly. In the time it takes to generate one job description, I’ve tested all iterations programmatically.