Detecting, diagnosing, and fixing flaky tests

How much CI time flaky test reruns actually burn: a benchmark

Rerun-driven CI minutes, benchmarked across suite sizes and flake rates. The numbers behind 'retries are a tax,' plus a script to price your own pipeline.

Flaky async tests: why fake timers beat sleep() every time

The setTimeout(500) in your test isn't a wait — it's a wager. Here's how to kill the single most common class of flaky async tests for good.

The flakiest test in your suite is fighting over a database row

Order-dependent tests that fight over the same database rows are one of the sneakiest sources of CI flakiness. Here's how to find and kill them.

The async race condition is why your tests are flaky

The single biggest source of flaky tests isn't infrastructure — it's async code racing your assertions. Here's how to find and kill it.

Merge queues don't fix flaky tests — they industrialize them

Merge queues make CI failures more expensive, not less. One flaky test can serialize an entire team's output. Here's the math — and the fix.

Your test suite is a distributed system: the race conditions that aren't in your code

Your application code isn't the only place race conditions live. Your test suite runs like a distributed system, and it has all the same failure modes.

Test evidence for regulated teams: what auditors actually want from your CI

Auditors don't care that your tests passed. They care that you can prove which tests ran, against which code, and that the results weren't quietly massaged before you shipped.

The real cost of a 5% test failure rate

A 5% flaky test rate sounds manageable. Run the numbers on rerun compute, engineer interruptions, and delayed releases, and it stops sounding that way.

Replit Case Study

Flaky Tests: How Replit crushes flakiness with BuildPulse

Auditboard Case Study

Flaky Tests:

Ultimate Guide to Fixing Flaky Tests

Flaky Tests: We see all kinds of flaky tests - see insider tips

Where do flaky tests come from?

Flaky Tests: To actually address the issue, it becomes imperative to uncover the root causes that underlie this mysterious phenomenon.

Minimizing flaky test impact

Flaky Tests: This tutorial outlines strategies to minimize their impact and enhance the functionality of your test suite.

What are the different types of tests

Flaky Tests: There are various types of software testing, each serving a specific purpose on the journey to a high-quality, bug-free software product.

TestOps in continuous testing

Flaky Tests: TestOps is a methodology that integrates software testing activities into the DevOps workflow seamlessly. It aligns testing with development...

Unit testing vs. integration testing

Flaky Tests: Unit testing and integration testing are fundamental types of testing strategies that help developers identify and fix issues at different stages

Effective unit testing

Flaky Tests: To excel in creating high-quality unit tests, adhering to a set of best practices and principles is vital.

Causes of flaky tests

Flaky Tests: While flaky tests might appear as insurmountable challenges, dedicated efforts in understanding and mitigating their underlying causes can pave the way to more reliable tests.

The impact of flaky tests

Flaky Tests: They derail a software engineer's workflow by causing non-deterministic behaviour, complicating debugging and making test results unreliable.

How to mitigate and prevent flaky tests

Flaky Tests: How do we mitigate the impact of flaky tests and prevent their recurrence?

How to fix flaky tests

Flaky Tests: In this guide, we'll discuss how to find and fix flaky tests in your test suite.

What are flaky tests?

Flaky Tests: The unique characteristic of flaky tests—producing inconsistent outcomes—leads to debugging difficulties and can considerably undermine the confidence