Blog
Practical guides on flaky tests, CI costs, and engineering productivity.
GitHub Actions CI Is Slow? Here's What's Actually Wasting Your Time
The top 5 time wasters in GitHub Actions pipelines — flaky reruns, missing caches, no path filters, sequential jobs, and oversized Docker images — with real workflow fixes.
Read article →How to Find and Fix Flaky Tests in Jest
Shared state, fake timers, async race conditions, port conflicts, snapshot drift — the most common Jest flakiness patterns and battle-tested fixes.
Read article →How to Find and Fix Flaky Tests in pytest
Database state leaks, freezegun, network mocking, tmp_path fixtures, import side effects — comprehensive guide to fixing flaky Python tests.
Read article →We Analyzed 10,000 GitHub Actions Runs — Here's What Flaky Tests Actually Cost
Data from 10,000 workflow runs: 30% of reruns are flaky, the average flake costs $37.50, and 80% of waste comes from just 3 tests.
Read article →Flaky Test Cost Calculator
How much are flaky tests costing your team per month? Adjust the sliders and find out — compute, developer time, and shipping delays.
Read article →Kleore vs BuildPulse vs Trunk vs Datadog
Side-by-side comparison of flaky test tools. Features, pricing, setup complexity — including where they beat us.
Read article →How Much Do Flaky Tests Actually Cost?
The real cost goes far beyond CI minutes. We break down compute, developer time, delayed merges, and trust erosion — with concrete numbers.
Read article →How to Fix Flaky Tests in GitHub Actions
Six patterns that cause 90% of test flakiness — and how to fix each one with concrete code changes.
Read article →What Are Flaky Tests? The Silent Killer of CI Pipelines
They pass. They fail. Nothing changed. Learn why flaky tests happen, how they erode trust, and what high-performing teams do differently.
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