flaky-test-diagnoser

Purpose

Find the actual cause of an intermittently-failing test and fix it properly, rather than reaching for a retry wrapper that hides the flake while leaving the underlying nondeterminism in place.

When to Use

• A test passes locally but fails in CI, or fails maybe one run in ten.
• Tests fail when run in a different order, in parallel, or on a slower machine.
• A team has started ignoring or auto-retrying certain tests.

What to Analyze

1. Timing and async assumptions — fixed sleep/timeout waits instead of waiting for the actual condition; assertions that race an unawaited promise; anything that passes on a fast machine and fails on a loaded CI runner.
2. Shared mutable state — module-level variables, singletons, or a database not reset between tests, so a test's outcome depends on what ran before it.
3. Test-order dependence — a test that only passes when run after another that happens to set up its state. Surfaces when a runner randomizes order or shards across workers.
4. External dependencies — real network calls, live third-party APIs, or system clock/timezone dependence. Anything the test doesn't control can fail independently of the code.
5. Nondeterministic data — random values, Date.now(), unstable ordering from a Set/Map/database query without an explicit ORDER BY, or locale-dependent formatting.
6. Resource contention — parallel tests competing for the same port, file, temp directory, or database row.

Output Format

• Most likely cause — named specifically, with the evidence from the test/code that points to it.
• Why it manifests intermittently — the specific condition (slow machine, particular ordering, parallel execution) that makes it fail rather than pass.
• Fix — as concrete code, addressing the root nondeterminism.
• How to confirm — how to reproduce the flake deliberately (run in a loop, force a specific order, add artificial delay) so the fix is verifiable rather than assumed.