AI TOOL PROFILE
LaunchDarkly: Feature Flag Management and Experimentation
- Software Development
- Feature Flag Management
- Software companies
- Enterprise organizations
- DevOps and SRE teams
- Product managers
- Mobile app development teams
Pricing
Offers a free Developer tier. The Foundation plan starts at $12 per service connection and $10 per 1k client-side MAU per month. Enterprise plans have custom pricing.
At a glance
- Best for
- Software companies, Enterprise organizations, DevOps and SRE teams, Product managers, Mobile app development teams
- Key use cases
- Progressive Feature Rollouts, Runtime AI Behavior Adjustment, Production A/B Testing, Emergency Feature Disabling
- Integrations
- Slack, Microsoft Teams, Trello, Jira Software, Datadog
- Official website
- Visit LaunchDarkly official website
How AI is used
LaunchDarkly is a platform for feature flag management and experimentation. It allows technical teams to toggle features on or off in real time without requiring new code deployments, which may help in managing how features are delivered to different user segments.
The tool is designed for developers, DevOps, SREs, and product managers. It supports a workflow that includes guarding releases to monitor for issues and conducting A/B tests to support data-driven product decisions.
Beyond standard feature flagging, the platform includes AI Configs for managing prompts and models at runtime. This is intended to help teams iterate on AI behavior without the need for constant redeploys.
Buyers should confirm their specific scaling needs, as pricing depends on service connections and monthly active users. Certain governance features, such as required approvals and custom roles, are available on specific tiers.
Key Features
Feature Flags
Allows teams to enable or disable features at runtime for specific users or segments without redeploying code.
Guarded Releases
Supports monitoring of releases with performance thresholds and automatic rollback capabilities.
Experimentation Platform
Supports A/B testing and data analysis to evaluate how feature variations perform across user cohorts.
AI Configs
Provides runtime control for AI products, including the management of prompts, models, and agents.
Observability Tooling
Supports detecting and diagnosing issues through session replays, error monitoring, and stack traces.
Targeting and Segmentation
Supports the delivery of specific features to groups based on user attributes or defined segments.
Use Cases
Progressive Feature Rollouts
Gradually releasing new functionality to subsets of users to limit the blast radius if issues occur.
Runtime AI Behavior Adjustment
Updating AI prompts or switching models in production to adjust performance without a full app redeploy.
Production A/B Testing
Testing different user experience variations with real users to identify which version performs better.
Emergency Feature Disabling
Using kill switches to disable a problematic feature when performance drops or errors increase.
Integrations
- Slack
- Microsoft Teams
- Trello
- Jira Software
- Datadog
- Sentry
- GitHub
- GitLab
- Snowflake
- Zendesk
FAQ
What are service connections in LaunchDarkly pricing?
- Service connections measure back-end feature management and represent the number of microservices, replicas, and environments connected to the platform for one month.
Does LaunchDarkly have a free version?
- Yes, there is a free Developer tier that includes unlimited feature flags and unlimited seats for individual projects.
Can LaunchDarkly be used to manage AI products?
- Yes, the platform includes AI Configs designed for managing AI prompts, models, and agents at runtime without requiring redeploys.
Source category: Software Development
Source subcategory: Feature Flag Management
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