LaunchDarkly
Feature flag and release management platform letting teams turn features on or off in production instantly, without redeploying code.
🔗 Visit LaunchDarkly
Description
Normally, shipping a new feature to users means deploying new code — and if something goes wrong, the only fix is another deploy, which can take minutes engineers don't have during an outage. LaunchDarkly wraps new features in a switch that can be flipped on or off instantly for any group of users, so a bad release can be turned off in seconds instead of requiring an emergency code rollback. LaunchDarkly is a runtime control platform for feature flags, progressive rollouts, and experimentation, with automated rollbacks tied to error monitoring so a flag reverts itself if it starts causing problems. It has grown into a broader release and AI-control platform for 2026: an "AgentControl" capability lets teams turn AI agents on/off and evaluate their behavior online or offline, an LLM playground supports prompt management and A/B testing, and it runs A/B/n experiments with multi-armed bandits and holdouts. The Developer tier is free with unlimited seats, 10M logs/traces, 5,000 session replays and 5,000 AI runs/month; Foundation is usage-based at $10/service/month or $8.33 per 1,000 client-side MAU; Enterprise and Guardian tiers require custom pricing.
💬 Our review
The short version: LaunchDarkly is the category's original and most established feature-flag platform, and in 2026 it's repositioned itself around controlling AI agent behavior in production the same way it always controlled feature rollouts.
As the company that essentially created the modern feature-flag category, LaunchDarkly's platform maturity shows in details competitors often lack — automated rollbacks tied directly to error monitoring, so a flag can revert itself the moment it starts causing errors, without a human watching a dashboard. Extending the same flag-and-control model to AI agents (AgentControl) is a logical and well-timed move given how much software now embeds autonomous agent behavior. The honest trade-off: it's priced and positioned for teams that need enterprise-grade release management, and lighter open-source alternatives (GrowthBook, Unleash) or developer-focused ones (Statsig) can cost less for teams that don't need LaunchDarkly's full enterprise feature set. For engineering organizations that treat release risk seriously and want a proven, mature platform, LaunchDarkly remains a safe default; smaller teams or those wanting an open-source self-hosted option should compare Unleash or GrowthBook first.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Pros
Automated rollbacks tied directly to error monitoring
Mature, category-defining platform with enterprise-grade reliability
AgentControl extends flagging to AI agent behavior, not just features
Cons
Pricing and feature depth aimed at enterprise, can be overkill for small teams
Open-source alternatives (Unleash, GrowthBook) cost less for simpler needs
🔄 Alternatives to LaunchDarkly
See all alternatives to LaunchDarkly →❓ Frequently asked questions
- How is LaunchDarkly different from just deploying feature flags myself?
- It adds a control layer on top: instant on/off toggling without a deploy, automated rollback when a flag starts causing errors, targeted rollouts to specific user segments, and experimentation — all without engineers building that infrastructure themselves.
- Is LaunchDarkly free to start?
- Yes — the Developer tier is free with unlimited seats and includes 10M logs/traces, 5,000 session replays and 5,000 AI runs per month before usage-based Foundation pricing kicks in.
- What is AgentControl?
- It's LaunchDarkly's 2026 feature-flag model applied to AI agents — teams can turn agent behaviors on/off and run online or offline evaluations, the same way they'd control a feature rollout.
- Is it worth the money compared to alternatives?
- The free Developer tier is generous enough for small teams to never pay. At scale, Foundation's usage-based pricing is competitive with Statsig, though open-source Unleash or GrowthBook can be cheaper if you're willing to self-host and don't need LaunchDarkly's automated-rollback maturity.
- Which feature flag platform should you pick for your case?
- Need proven, enterprise-grade reliability with automated rollback: LaunchDarkly. Want feature flags bundled with product analytics and experimentation: Statsig. Want a free, open-source, self-hosted option: Unleash or GrowthBook. Need a lightweight flags-only tool: Flagsmith.