Flaky Test Detection & Quarantine

Major technology companies have shown that disciplined flaky-test management can dramatically improve stability and release speed. Slack provides one of the strongest examples: Its engineering team reported that an automated suppression system—part of its internal Project Cornflake—cut flaky-related test failures from 56.8% to 3.9% in under a year. GitHub documented similar gains, noting that improvements to its internal detection platform made flaky-test identification more effective, sharply reducing false failures in GitHub Actions.

Microsoft offers one of the largest enterprise-scale case studies. According to published engineering research, its flaky-test system supports 100 product teams, has flagged 49,000 flaky tests, and prevented more than 160,000 test sessions from failing unnecessarily.

The business impact is clear: flaky tests slow deployments, inflate compute costs, and require costly manual review. Automated detection and quarantine restore developer confidence, increase release velocity, and help prevent delays during revenue-critical cycles such as holiday shopping peaks.