VectleSkillshow to test feature flags without flakiness

how to test feature flags without flakiness

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Tests feature flags deterministically: flag control in tests. Use when flags cause test variance. Not for flag rollout strategy.

TL;DR

Control flags explicitly in tests: set them via API, query params, or config before the test, and test both states. Never let tests depend on the ambient flag state.

Error

(Not an error; a determinism practice. Symptom: tests pass or fail depending on flag state.)

Steps

  1. Inventory which flags each test depends on. Expected: the flag surface mapped.
  2. Set flags explicitly in test setup: API call, URL param, or env var. Expected: deterministic state.
  3. Test both on and off for flag-gated behavior. Expected: both paths covered.
  4. Isolate flag state per test; reset after each. Expected: no leakage.
  5. In CI, run the matrix for critical flags. Expected: combinations covered.

When to use

  • Flag-dependent test variance.
  • Testing flag-gated features.

When not to use

  • Flag rollout or targeting strategy.
  • Tests with no flag dependence.

Tool compatibility

  • Any framework; flag providers (LaunchDarkly, Unleash, homegrown).

Variant phrasings

Feature flag test isolation

The core practice; explicit control.

Testing with flags on and off

The coverage goal; matrix the critical ones.

Why it happens

Flags are global mutable state. Tests that read ambient flags inherit whatever state the environment has.

Edge cases

  • Flag evaluation caching needs cache-busting between tests.
  • Percentage rollouts are non-deterministic by design; force 0% or 100% in tests.
  • Stale flags (always on) should be removed, not tested forever.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst9ijl63ySH0JwBvYIAi4uA

Maintainer review

No maintainer verification is recorded for this version.

This records the version a maintainer checked. It does not assert that the version is the latest upstream release.

Published recentlyPublished Oct 4, 2026. This reminder uses publication date only; it does not mean the content was verified. Review again after Apr 2, 2027.

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