Mock Feature Flag Rollout Generator
Generates example feature-flag rollout configurations as JSON
About this generator
When building or testing a feature flag system, you need realistic rollout configurations — not invented ones that miss key fields. A missing targeting rule can make tests pass locally but break against a real system. This generator produces a complete rollout object as formatted JSON each time you click. There are no inputs. Each run picks a flag name from new-checkout, dark-mode, beta-search, redesigned-nav, or inline-editing, and a percentage from 5, 10, 25, or 50. Targeting is scoped to the plan attribute with values pro and enterprise, the strategy is always percentage-based, and the output includes control and treatment variations with a default. Paste the output into a test fixture or tutorial. It is useful for documenting what a rollout object looks like for teammates new to feature flags, or for seeding integration tests.
How to use
- Click Generate to produce a flag config.
- Copy the JSON into a test or doc.
- Adapt the key, percentage, and targeting.
- 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 fields does the generated config include
Every output includes a flag key, enabled status, a percentage rollout strategy with a value of 5, 10, 25, or 50, a targeting rule scoped to the plan attribute, a control and treatment variation list, and a default variation. The structure is fixed; only the flag name and percentage vary.
can I change the targeting rules or flag names
No — there are no inputs. The generator picks a flag name and percentage at random from a fixed pool. If you need a specific flag key or custom targeting, use the output as a starting point and edit the JSON directly.
what is a percentage rollout strategy
A percentage rollout exposes a feature to a fraction of users — for example 10% — so you can watch for problems before expanding. If something breaks, disable the flag immediately without a redeploy. The generated configs use this strategy exclusively.
why are only pro and enterprise users targeted
The targeting rule is fixed to those two plan values as a common real-world pattern — limiting early rollouts to paying users. It is an example structure, not a recommendation; adjust the values in your own system.
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