Why Your Tests Are Flaky (And How to Fix Them)

Why tests flake

1. Timing — Assertions run before the app is ready; or race conditions between steps.
2. Selectors — Brittle XPaths or IDs that change after a redesign or A/B test.
3. Environment — Shared data, leftover state, or external services that behave differently.
4. Parallelism — Tests that assume exclusive access to a resource.

How to fix them

• Replace fixed sleeps with explicit waits — Wait for a specific condition (element visible, network idle), not a fixed number of seconds.
• Use stable selectors — Prefer data attributes or semantic roles over fragile XPaths.
• Isolate tests — Clean state before/after; use dedicated test data.
• Run flaky tests in quarantine — Fix or remove them; don't let them block releases.

Intent-driven automation (e.g. AURA AI) reduces flakiness by design: execution is evidence-bound and failures are explainable, so you spend less time chasing intermittent failures.