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FlagShark
LaunchDarkly Specialized

Automated LaunchDarkly Feature Flag Cleanup & Removal

Automatically detect and remove stale LaunchDarkly flags from your codebase. Reduce technical debt, improve developer velocity, and save thousands of hours annually.

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Calculate Savings
73%
of flags never removed
$125k+
annual savings
5+ hrs
saved per week

LaunchDarkly Flag Analysis

Action Required
Flag Status Overview
Active Flags487
Stale Flags (100% rollout)156
Ready for Removal89
Detected Stale Flags:
ld.variation('old-pricing-model')8 months old
ld.variation('legacy-checkout')5 months old
ld.variation('temp-feature')3 months old
Potential Annual Savings: $156,000

The Hidden Cost of LaunchDarkly Flag Accumulation

Every stale LaunchDarkly flag adds complexity, slows development, and increases the risk of bugs

Velocity Loss

Developers spend 5+ hours weekly navigating flag-cluttered code

Financial Impact

Average cost of $125,000+ per year for a 10-developer team

Quality Risk

43% more bugs in code sections with multiple feature flags

Code Complexity

Nested conditionals make code harder to understand and test

How FlagShark Cleans Up LaunchDarkly Flags

Intelligent detection and safe removal of stale LaunchDarkly feature flags

1

Detect LaunchDarkly SDK Usage

FlagShark scans your codebase to identify all LaunchDarkly SDK calls includingvariation(),variationDetail(), and other flag evaluation methods.

2

Analyze Flag Lifecycle

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.

3

Generate Safe Removal PRs

Automatically create pull requests that safely remove flag checks and simplify code paths. Each PR includes before/after comparisons and impact analysis.

4

Continuous Monitoring

Keep your codebase clean with ongoing detection of new stale flags. Get alerts when flags are ready for removal and track cleanup progress.

Before: Complex Flag Logic
const showNewCheckout = ldClient.variation(
  'new-checkout-flow', 
  user, 
  false
);

if (showNewCheckout) {
  return <NewCheckoutComponent />;
} else {
  return <LegacyCheckoutComponent />;
}
After: Clean Code
// Flag removed - new checkout is now default
return <NewCheckoutComponent />;

// Legacy component deleted
-8 lines of code, improved readability

LaunchDarkly-Specific Features

Purpose-built for teams using LaunchDarkly feature flags

SDK Pattern Detection

Recognizes all LaunchDarkly SDK patterns across JavaScript, TypeScript, Python, Go, Java, and more. Handles both client and server-side SDKs.

Rollout Analysis

Track flag rollout percentages and identify flags that have been at 100% for extended periods. Customizable thresholds for your team.

Safe Removal

Intelligent code transformation that preserves business logic while removing flag checks. Handles complex conditionals and nested flags.

PR Automation

Automatic pull request creation with detailed descriptions, impact analysis, and test recommendations for each flag removal.

Risk Assessment

Each flag removal includes a risk score based on code complexity, test coverage, and usage patterns to prioritize safe cleanups.

Instant ROI

See immediate improvements in build times, test execution, and developer productivity as flag complexity is reduced.

LaunchDarkly Cleanup ROI Calculator

See how much your team can save by automating LaunchDarkly flag cleanup

Your Current Situation

Active LaunchDarkly Flags487
Estimated Stale Flags156
Developer Team Size15
Avg Developer Salary$130k

Projected Savings

Hours Saved Per Week75
Monthly Cost Savings$11,250
Annual Cost Savings$135,000
ROI Period3 days
Calculate Your Custom ROI
★★★★★
"We had over 300 LaunchDarkly flags accumulated over 2 years. FlagShark helped us remove 180 stale flags in just 3 weeks, saving our team countless hours. The automated PRs made the process painless and safe."
Sarah Chen
Engineering Manager, TechCorp
180
Flags Removed
3 weeks
Time to Clean
$142k
Annual Savings

LaunchDarkly Cleanup FAQ

How does FlagShark detect LaunchDarkly flags?

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.

Will removing flags break my application?

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.

Can I exclude certain flags from cleanup?

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.

Does FlagShark integrate with LaunchDarkly's API?

Currently, FlagShark works by analyzing your codebase directly. Future versions will integrate with LaunchDarkly's API to provide real-time rollout percentage data and flag metadata. This will enable even more intelligent cleanup recommendations.

Start Cleaning Up LaunchDarkly Flags Today

Join teams saving $125,000+ annually by automating LaunchDarkly feature flag cleanup

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Related Resources

GitHub Integration →

Automated flag detection in every pull request with GitHub App integration.

Flag Debt Calculator →

Calculate the true cost of feature flag technical debt for your team.

Cost of Stale Flags →

Industry research on the financial impact of feature flag accumulation.