Modern E2E Testing with Playwright and AI

Pair Playwright with LLMs to plan, generate, refactor, and monitor end-to-end tests, without shipping hallucinations. This webinar showcases practical workflow: ground models with fresh docs, driving the browser via Playwright MCP, auto-fixing failing tests, refactoring to POMs, add API checks, and reusing the same suite for synthetic monitoring in Checkly.

Chapters

00:00 – Intro, agenda, housekeeping

01:39 – AI landscape & what it means for testers

03:17 – Reusing Playwright for synthetic monitoring (Checkly)

05:25 – Demo app & setup (Next.js store, existing tests)

10:28 – Grounding LLMs: fresh docs + context files (setup.md, testplan.md)

13:46 – Playwright MCP: scan app → generate test plan → create test

21:04 – Debug & auto-repair loop (strict mode, steps, reports)

32:12 – Refactor to Page Object Models (+ quick best-practice pass)

39:42 – API test for /api/products

44:36 – Run in Checkly Cloud & deploy as monitoring

48:54 – Key takeaways & Q&A