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Automatically detect and remove stale LaunchDarkly flags from your codebase. Reduce technical debt, improve developer velocity, and save thousands of hours annually.
ld.variation('old-pricing-model')8 months oldld.variation('legacy-checkout')5 months oldld.variation('temp-feature')3 months oldEvery stale LaunchDarkly flag adds complexity, slows development, and increases the risk of bugs
Developers spend 5+ hours weekly navigating flag-cluttered code
Average cost of $125,000+ per year for a 10-developer team
43% more bugs in code sections with multiple feature flags
Nested conditionals make code harder to understand and test
Intelligent detection and safe removal of stale LaunchDarkly feature flags
FlagShark scans your codebase to identify all LaunchDarkly SDK calls includingvariation(),variationDetail(), and other flag evaluation methods.
Track when flags were introduced, their current rollout percentage, and how long they've been at 100%. Flags older than 30 days at full rollout are marked for cleanup.
Automatically create pull requests that safely remove flag checks and simplify code paths. Each PR includes before/after comparisons and impact analysis.
Keep your codebase clean with ongoing detection of new stale flags. Get alerts when flags are ready for removal and track cleanup progress.
const showNewCheckout = ldClient.variation(
'new-checkout-flow',
user,
false
);
if (showNewCheckout) {
return <NewCheckoutComponent />;
} else {
return <LegacyCheckoutComponent />;
}// Flag removed - new checkout is now default
return <NewCheckoutComponent />;
// Legacy component deletedPurpose-built for teams using LaunchDarkly feature flags
Recognizes all LaunchDarkly SDK patterns across JavaScript, TypeScript, Python, Go, Java, and more. Handles both client and server-side SDKs.
Track flag rollout percentages and identify flags that have been at 100% for extended periods. Customizable thresholds for your team.
Intelligent code transformation that preserves business logic while removing flag checks. Handles complex conditionals and nested flags.
Automatic pull request creation with detailed descriptions showing which flags are being removed and the code changes involved.
Only flags at 100% rollout for your configured threshold are suggested for removal. Review every change before merging.
See immediate improvements in build times, test execution, and developer productivity as flag complexity is reduced.
See how much your team can save by automating LaunchDarkly flag cleanup
Experience automated LaunchDarkly flag cleanup with our free tier
FlagShark uses AST parsing to detect LaunchDarkly SDK usage patterns including variation(), variationDetail(), and feature flag evaluations across JavaScript, TypeScript, Python, Go, and other languages. We recognize both client-side and server-side SDK patterns.
No. FlagShark only removes flags that have been at 100% rollout for your configured time threshold (default: 30 days). All removals are done through pull requests that you can review and test before merging. The code transformation preserves the "true" path of the flag evaluation.
Yes! You can configure FlagShark to ignore specific flags, flag patterns, or entire files. Some teams keep operational flags (like kill switches) permanently. Use a .flagshark.yml file to customize detection and cleanup rules.
FlagShark analyzes your codebase directly and can sync with LaunchDarkly's API to provide real-time rollout percentage data and flag metadata for enhanced cleanup recommendations.
Be among the first teams to automate LaunchDarkly feature flag cleanup and save $125,000+ annually
Free 14-day trial • No credit card required • 5-minute setup
Automated flag detection in every pull request with GitHub App integration.
Calculate the true cost of feature flag technical debt for your team.
Industry research on the financial impact of feature flag accumulation.