StageWright – A performance-focused Playwright reporter with AI
Flakiness grades + 2-sigma anomaly detection beats default retry logic; but Playwright Cloud exists.
Playwright CI reporter — aggregates failures across parallel jobs into a single debuggable view. 5,000+ downloads.
Playwright's built-in HTML reporter already aggregates traces, screenshots, and videos.
QA engineers and developers running Playwright tests in CI pipelines
Playwright HTML Reporter · Allure · ReportPortal
In practice this means debugging a failure usually involves downloading multiple files and trying to reconstruct what happened.
I built an open-source Playwright reporter that aggregates all artifacts from a test run into a single report.
It works locally and in CI using the artifacts Playwright already produces.
The goal is to make it faster to understand why a test failed without digging through CI outputs.
Would love feedback from teams using Playwright at scale.
GitHub: https://github.com/adnangradascevic/playwright-reporter
Flakiness grades + 2-sigma anomaly detection beats default retry logic; but Playwright Cloud exists.
The repo sensibly separates concerns — a standalone junit-parser crate plus a ratatui-based viewer — which makes reuse straightforward. The UI shows sensible affordances (file tabs, suite list, failure detail with stack traces and vim-like keybindings) and even ships via Homebrew and cargo, but it’s a focused niche tool rather than something disruptive — missing things I’d expect next are search/filtering and CI/web integration.
Cuts screenshot-upload-link drudgery for QA teams drowning in spreadsheets.
Searchable database of UK business risks extracted from annual reports.
Playwright MCP server lets AI agents debug browsers directly inside Cursor.
Schema validation + retry for AI pipelines, but already solved by Pydantic, Marvin, and structured outputs.