Back to list

Automate LaunchDarkly workflows with AI Agents

AI agent summarizes LaunchDarkly feature flag statuses and changes, posting clear updates into team chat each morning. Enhance your LaunchDarkly workflows with AI-powered automation in Slack, Teams, and Discord.

Daily Feature Flag Status Digest
AI agent summarizes LaunchDarkly feature flag statuses and changes, posting clear updates into team chat each morning.
Instant Feature Documentation Lookup
Team members ask the AI agent for LaunchDarkly feature details or flag history directly in Slack or Teams.
Effortless Experiment Insights
AI agent analyzes LaunchDarkly experiment results and delivers digestible charts and summaries inside your team chat.
Automated Compliance Snapshots
Schedule AI agents to audit and summarize LaunchDarkly flag compliance, sharing exportable reports with your team.
Automate Your LaunchDarkly Workflows with AIStart your free trial and see the difference in minutes.

LaunchDarkly Integration Thumbnail

Effective feature management is critical to modern software teams, and LaunchDarkly excels at empowering teams to control feature flags, safe releases, and experimentation. But what if you could make LaunchDarkly even smarter—letting your team interact with LaunchDarkly data, reports, and feature documentation using a conversational AI agent right in Slack or Teams? By combining LaunchDarkly with Runbear’s powerful AI agent platform, teams can automate routine work, uncover insights faster, and collaborate around feature management—all without context switching or manual back-and-forth.

About LaunchDarkly

LaunchDarkly is a feature management and experimentation platform designed for software development teams. It allows organizations to control feature flags, run progressive rollouts, and safely test new releases without deploying new code. Its comprehensive feature flagging, targeting, and experiment analytics give engineering and product teams the agility to innovate faster while reducing deployment risks. LaunchDarkly is used by businesses of all sizes—from agile startups to enterprises—looking to scale release processes, enable rapid iteration, and empower collaboration between engineering, product, and business stakeholders. Teams typically adopt LaunchDarkly to decouple deployment and release cycles, support continuous delivery, and improve visibility into feature usage across their applications.

Use Cases in Practice

Integrating LaunchDarkly with an AI agent powered by Runbear unlocks a host of smarter, time-saving workflows for your team. Imagine receiving a daily Slack summary of all recent feature flag changes—no more toggling dashboards or missing critical updates. Or, picture a team member quickly asking, "What does the beta_signup flag do?" and instantly receiving details, documentation, and rollout history right in your chat. With Runbear, your AI agent is also capable of analyzing LaunchDarkly experiment data and presenting clear visual summaries—giving your product leaders answers in seconds, as seen in similar use cases like Simplify Your Business Analytics. Teams can even automate scheduled flag compliance audits, ensuring release standards and regulatory requirements are met and shared on time. These use cases demonstrate not only increased speed and efficiency but also improved communications and fewer missed details across your development workflow.

LaunchDarkly vs LaunchDarkly + AI Agent: Key Differences

LaunchDarkly Comparison Table

With LaunchDarkly alone, teams manage feature flags and experimentation via its dashboard, which often means toggling between tools, manual checks, and periodic report exports. Integrating LaunchDarkly with Runbear transforms these processes: AI agents automate reporting, enable natural language queries, and centralize workflows within Slack or Teams, minimizing friction and unlocking data-driven collaboration. This shift moves teams from static, manual monitoring to smart, AI-powered automation right where work happens.

Implementation Considerations

Adopting an integrated workflow with LaunchDarkly and Runbear requires thoughtful preparation. Teams should ensure permissions are in place for the AI agent to access relevant LaunchDarkly data, which may involve collaboration with IT or DevOps to manage API tokens securely. Training team members on utilizing AI agents within chat (Slack, Teams, or Discord) can streamline adoption, but expect a learning curve as workflows shift from traditional dashboards to conversational automation. Additionally, teams should evaluate data governance needs: sensitive flag configurations or compliance reports may need careful control over who can view or trigger AI-powered summaries. A cost-benefit analysis will help determine if time savings and improved collaboration offset setup and subscription expenses. Ensuring champions on both engineering and non-technical teams can be vital to successful rollout, reinforcing change management and maximizing impact.

Get Started Today

Integrating LaunchDarkly with Runbear’s AI agent transforms the way teams manage features, collaborate, and gain insights. By automating routine updates, surfacing critical data in natural language, and centralizing key workflows within Slack or Teams, teams unlock higher productivity and smarter decision-making—without adding complexity. Ready to make your LaunchDarkly workflows seamless and collaborative? Try the Runbear integration today and experience the future of agile feature management firsthand.