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Playwright Flaky Tests: How to Find and Fix Them

Blog post from TestMu AI

Post Details
Company
Date Published
Author
Salman Khan
Word Count
2,364
Company Posts That Month
158
Language
English
Hacker News Points
-
Post removed?
No
Summary

Flaky Playwright tests are presented as symptoms of identifiable non-determinism in timing, locators, hydration, shared state, network behavior, or browser and CI environments rather than random failures. The guide recommends reproducing failures with retries disabled and repeated runs, using single and multiple workers to distinguish clean failures from parallel-state races, and treating common Playwright error messages as diagnostic signals rather than reasons to increase timeouts. Stable tests should replace fixed delays with web-first assertions and polling, use unique role-, label-, or test-ID-based locators instead of ambiguous or positional selectors, wait for true post-hydration interactivity, create isolated data for each test, and synchronize UI assertions with relevant network responses or mocks. It also notes that Chromium, Firefox, and WebKit can differ in rendering and input behavior, while slower, headless CI runners can expose timing and environmental weaknesses that are absent locally. Retries may preserve CI throughput for transient infrastructure issues but should not conceal recurring failures, so teams should track flaky-test rates, fail builds containing flaky passes when appropriate, pin Playwright versions, test new specs repeatedly before merging, and use consistent isolated browser environments or cloud grids to reduce environmental drift.

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