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Upcoming Webinar

The AI-Native Playwright Reporter

Stop Guessing and Debug Failures, Flakiness, and Trends

Date

May

21

2026

Time

9AM PDT

12PM EDT

6PM CEST

Register Now

When a Playwright test fails, most teams still end up doing the hardest part manually: digging through CI logs, traces, screenshots, and console output to figure out what happened.

In this live session, you will see how the Checkly Playwright Reporter integrates Playwright runs into Checkly, enabling teams to use Rocky AI, error grouping, and richer debugging context to understand what broke and what keeps breaking.

What we'll cover

  1. See Rocky AI analyze a real Playwright failure: Watch Rocky use traces, network requests, console logs, and run context to explain what broke and why.
  2. Track flaky and recurring issues over time: See how error grouping and session history make it easier to spot patterns instead of treating every failure like a one-off.
  3. Pinpoint what went wrong in a richer debugging UI: Walk through filterable network views, browser console logs, traces, and CPU/memory graphs to understand whether the issue is in the app or the environment.
  4. Go from test result to production monitoring: See how the broader Checkly workflow can take important Playwright tests from CI into monitoring.

What you'll walk away with

  • —A clear understanding of how Rocky AI fits into the Playwright debugging workflow
  • —A practical view of how to track failures, flakiness, and trends across runs
  • —A better sense of how the Checkly Playwright Reporter differs from basic hosted reporting
  • —A clear picture of how the same workflow can extend from CI into production monitoring

Speakers

María de Antón

Staff Product Manager · Checkly

Piril Kavlak

Senior Product Marketing Manager · Checkly