Connectors / Integration
Connect LaunchDarkly and GitHub to Automate Feature Flag Workflows
Tie feature flag changes to code deployments, pull requests, and repository events so your development and release management actually stay in sync.
LaunchDarkly + GitHub integration
LaunchDarkly controls what's live. GitHub manages the code that got it there. When these two systems don't talk to each other, teams lose track of which flags correspond to which code changes — and that gap creates release risk and a lot of manual overhead. Connecting LaunchDarkly with GitHub through tray.ai automates the handoff between feature flag management and source control, giving you traceable release workflows without the coordination tax.
Engineering and DevOps teams use LaunchDarkly to roll out features safely and GitHub to drive every commit, pull request, and deployment pipeline. Without a tight connection between them, developers have to manually track which flags are referenced in a PR, flag owners get no signal when related code merges, and incidents caused by a flag change go unlinked to the originating commit. Connecting LaunchDarkly and GitHub with tray.ai lets teams automatically toggle flags when PRs merge, post flag status as GitHub commit statuses, open issues when flag evaluations go sideways, and keep an end-to-end audit trail across both platforms. The result is faster, safer releases with less manual coordination and far less configuration drift.
Automate & integrate LaunchDarkly + GitHub
Automating LaunchDarkly and GitHub business processes or integrating data is made easy with Tray.ai.
Use case
Automatically Enable Feature Flags on PR Merge
When a pull request targeting a release branch merges in GitHub, tray.ai can automatically enable the corresponding LaunchDarkly feature flag in a target environment. No more manually flipping flags after deployment — features go live exactly when the code does.
- Eliminate human error from forgetting to enable flags post-merge
- Cut time-to-feature-availability for end users
- Enforce a consistent, repeatable release process across all engineering teams
Use case
Create GitHub Issues When Feature Flags Are Going Stale
Long-lived feature flags pile up technical debt fast. tray.ai can monitor LaunchDarkly for flags that have exceeded an age threshold or are permanently enabled, then open a GitHub issue assigned to the flag's owner with remediation guidance. Teams stay on top of flag hygiene without running manual audits.
- Get ahead of feature flag technical debt before it becomes a problem
- Route flag cleanup tasks directly into existing engineering workflows
- Keep flag counts manageable so the codebase stays maintainable
Use case
Post Feature Flag Status as GitHub Commit Statuses
tray.ai can listen for flag change events in LaunchDarkly and update the corresponding GitHub commit status to reflect whether the associated feature is enabled, in rollout, or disabled. Any developer reviewing a commit gets instant context on the live flag state tied to that code.
- Full traceability between flag states and specific code commits
- Flag context visible directly inside the GitHub pull request review workflow
- Faster incident investigation by linking flag changes to commits right away
Use case
Roll Back LaunchDarkly Flags When a GitHub Deployment Fails
When a GitHub Actions deployment workflow fails or a deployment environment reports an unhealthy status, tray.ai can immediately disable or roll back the associated LaunchDarkly feature flag to protect users. This automated safety net cuts mean time to recovery without requiring on-call engineers to step in manually.
- Minimize user impact during failed deployments through instant flag rollback
- Cut MTTR by automating recovery steps that would otherwise be manual
- Reduce on-call burden by handling common rollback scenarios automatically
Use case
Sync GitHub Repository Tags to LaunchDarkly Flag Metadata
When a new release tag is created in GitHub, tray.ai can update the metadata on related LaunchDarkly feature flags to associate them with that release version. You end up with a living record of which flags shipped with which release — useful for audits and retrospectives alike.
- Accurate release-to-flag mapping without manual data entry
- Simpler compliance audits with automatically maintained flag provenance records
- Faster post-release retrospectives with complete flag and release history
Use case
Notify Teams in GitHub Discussions When Flag Targeting Rules Change
When LaunchDarkly targeting rules change significantly — say, expanding a flag rollout to 100% of users or modifying segment targeting — tray.ai can automatically post a comment or discussion in the relevant GitHub repository. Engineering, QA, and product stakeholders stay in the loop without watching LaunchDarkly directly.
- Cross-functional teams stay informed of flag changes in a platform they already use
- Automatic paper trail of targeting rule changes tied to the codebase
- Less miscommunication between product, QA, and engineering during rollouts
Challenges Tray.ai solves
Common obstacles when integrating LaunchDarkly and GitHub — and how Tray.ai handles them.
Challenge
Mapping Feature Flag Keys to Pull Requests Reliably
Feature flag keys in LaunchDarkly and PR identifiers in GitHub follow different naming conventions, and there's no native shared identifier between them. Without a solid mapping strategy, automation breaks or relies on brittle string parsing.
How Tray.ai helps
tray.ai's data mapper and conditional logic operators let teams define custom mapping rules — extracting flag keys from PR descriptions, branch names, or custom labels — without writing bespoke code. The mapping logic lives in the workflow and can be updated without engineering effort.
Challenge
Handling Environment-Specific Flag State Across Multiple GitHub Environments
GitHub deployment environments (staging, production, canary) map to different LaunchDarkly environments, and toggling the right flag in the right environment is easy to misconfigure when done manually.
How Tray.ai helps
tray.ai workflows support branching logic and environment variable substitution, so a single workflow template can dynamically resolve the correct LaunchDarkly environment based on the GitHub deployment target. You configure the mappings once and they apply consistently on every run.
Challenge
Managing High-Volume Flag Change Events Without Noise
Active LaunchDarkly projects can generate dozens of flag change events per day. Reacting to every one of them would flood GitHub with issues, comments, and status updates — which quickly trains engineers to ignore them.
How Tray.ai helps
tray.ai supports event filtering, deduplication logic, and configurable throttling within workflows. Teams decide which flag types, environments, or change magnitudes warrant a GitHub action, so only meaningful events trigger downstream activity.
Templates
Pre-built workflows for LaunchDarkly and GitHub you can deploy in minutes.
Merge PR → Enable LaunchDarkly Feature Flag
GitHub 
LaunchDarkly Monitors GitHub for merged pull requests matching a naming convention or label, automatically enables the corresponding LaunchDarkly feature flag in the specified environment, and posts a confirmation comment back to the PR.
LaunchDarkly Flag Rollback on GitHub Deployment Failure
GitHub LaunchDarkly Listens for failed deployment status events in GitHub, automatically finds and disables the associated LaunchDarkly feature flag, then opens a GitHub issue documenting the incident and the rollback action taken.
Stale Flag Detector → GitHub Issue Creator
LaunchDarkly GitHub Runs on a schedule to query LaunchDarkly for feature flags that have exceeded a configurable staleness threshold, then opens a labeled GitHub issue in the relevant repository and assigns it to the flag's maintainer for cleanup.
GitHub Release Tag → Update LaunchDarkly Flag Metadata
GitHub LaunchDarkly When a new release tag is pushed to GitHub, this template automatically updates the version metadata on all LaunchDarkly flags associated with that release, keeping release-to-flag traceability accurate across both platforms.
LaunchDarkly Flag Change → GitHub Commit Status Update
LaunchDarkly GitHub Listens for feature flag change events in LaunchDarkly and maps those changes back to the associated GitHub commit, updating the commit status to reflect the current flag state so developers always have flag context inside GitHub.
Scheduled LaunchDarkly Flag Audit Report to GitHub
LaunchDarkly GitHub Generates a periodic audit report of all active LaunchDarkly feature flags and their targeting rules, then commits the report as a markdown file to a designated GitHub repository for version-controlled compliance documentation.
How Tray.ai makes this work
LaunchDarkly + GitHub runs on the full Tray.ai platform
Intelligent iPaaS
Integrate and automate across 700+ connectors with visual workflows, error handling, and observability.
Learn more →Agent Builder
Build AI agents that read, write, and take action in LaunchDarkly and GitHub — with guardrails, audit, and human-in-the-loop.
Learn more →Agent Gateway
Expose LaunchDarkly + GitHub actions as governed MCP tools — observable, rate-limited, authenticated.
Learn more →Ship your LaunchDarkly + GitHub integration.
We'll walk through the exact integration you're imagining in a tailored demo.