Skip to content
Cypher QA

Blog

Why your automated tests are flaky (and how to fix them)

Flaky tests fail for no reason, erode trust, and get disabled. The common causes — timing, shared state, brittle selectors, environment drift — and how to fix them for good.

6 min read
  • Flaky tests
  • Test automation
  • CI/CD

What flakiness costs

A flaky test fails sometimes and passes other times with no code change. The cost is not the failed run — it is the trust it destroys. Teams start ignoring failures, then disable the flaky tests, then realize the suite no longer protects anything. Flakiness is the leading reason automated suites quietly die.

The usual suspects

Most flaky tests come from four causes:

  • Timing races — fixed sleeps that assume the app is ready, which break on slow machines or loaded CI runners.
  • Shared state — tests that depend on the order they run in, or on data left behind by earlier tests.
  • Brittle selectors — locators tied to CSS classes or text that changes with every redesign.
  • Environment drift — databases, services, or containers that are not actually ready when the tests start.

How to fix them

Each cause has a direct fix:

  • Replace sleeps with auto-waiting — wait for the element or condition, not for a fixed number of milliseconds.
  • Make setup idempotent — every test creates its own data and cleans up after itself, so order never matters.
  • Use stable selectors — roles, test IDs, and semantic attributes instead of CSS classes or display text.
  • Gate dependencies on health — start databases and services only when they respond, not when the process spawns.

When retries are a trap

Retrying flaky tests is a double-edged sword. A retry that is visible in the report — marked as a rerun, not silently swallowed — can distinguish genuine flakes from real regressions. A retry that hides failures entirely just moves the trust problem. The rule: retries buy time to fix the root cause; they are not the fix.

The engineering answer

Flakiness is an engineering problem, and it responds to engineering: connection polling instead of sleeps, healthcheck-gated orchestration, idempotent schema and seed data, and retries that stay visible in reports. The Nexus Quality Engineering Platform implements all of these — it is a working reference for a suite that does not flake.

Need this done for your product?

Cypher QA provides the QA testing and software test engineering described here — with public proof of the work.