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Mock Feature Flag Rollout Generator

Used by developers, writers, and creators worldwide.

A mock feature flag rollout generator produces example feature-flag configurations as JSON for testing and learning. Feature flags let teams turn features on and off and roll them out gradually without redeploying, and a flag config captures the rollout rules — percentages, targeting, and variations. This tool emits a realistic flag configuration. Click generate and copy it into a test or a tutorial. It is ideal for testing a flag system, documenting a rollout, and learning the structure. The config reflects common patterns — a percentage rollout, attribute targeting to specific user segments, and control versus treatment variations for an experiment. Feature flags are powerful for releasing safely: you can ship to a small percentage, watch for problems, and ramp up or roll back instantly. Adapt the flag key, percentages, and targeting rules to your own system.

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How to use

  1. Choose your options above
  2. Click Generate
  3. Copy your result

Detailed instructions

  1. Click Generate to produce a flag config.
  2. Copy the JSON into a test or doc.
  3. Adapt the key, percentage, and targeting.
  4. Clean up stale flags after full rollout.

Use Cases

  • •Testing a feature flag system
  • •Documenting a rollout config
  • •Learning flag configuration
  • •Seeding example flags
  • •Demoing gradual rollouts

Tips

  • →Roll out gradually by percentage.
  • →Target specific user segments.
  • →Roll back instantly if needed.
  • →Remove stale flags promptly.

FAQ

what are feature flags

Feature flags let teams turn features on or off and roll them out gradually without redeploying. A flag wraps a feature so its visibility is controlled by configuration, enabling safe releases, experiments, and instant rollbacks.

what is a percentage rollout

A percentage rollout exposes a feature to a fraction of users — say 10% — so you can watch for problems before ramping up. If something breaks, you roll back instantly without a deploy. Gradual rollouts make releases far safer.

why clean up old flags

Flags that linger after a feature is fully rolled out add complexity and risk — dead code paths and confusing config. Removing stale flags once a feature is permanent keeps the codebase and flag system clean and maintainable.