Flaky-Test Detector

Flaky tests quietly destroy trust in CI. A test fails, someone hits re-run, it passes, and the cycle repeats until the team starts ignoring red builds entirely and a real failure slips through. Nobody knows which tests are actually flaky versus genuinely broken, because that signal is buried across hundreds of past runs.

Connects to your CI and parses historical test results to compute a flakiness score per test (fail-then-pass rate on the same commit), ranks by frequency and wasted minutes, surfaces the likely cause bucket (timing, shared state, network, ordering), and can quarantine the worst ones via a generated skip or retry annotation.

Dev teams of 3-30 with a real test suite (Jest, Pytest, Playwright, RSpec) on GitHub Actions or GitLab who are drowning in re-runs.

This is an intermediate micro-SaaS idea suited for builders with some shipping experience. Expect to work with third-party integrations, more complex data models, and nuanced user workflows that require careful planning.