How Teams Are Scaling Playwright Beyond Local CI

The numbers back it up. Adoption among professional QA teams grew from 12% to 45% between 2023 and 2025 — surpassing Selenium in active adoption on new projects for the first time. Weekly npm downloads have grown from 1.2 million to 52 million over the same period. More than 12,000 companies now run Playwright in production, including some of the largest engineering organizations in the world. 

The reasons aren’t hard to understand. Playwright’s TypeScript-first API fits how modern development teams work. Getting started is fast. Tests are easier to maintain than the Selenium-era alternatives. And for teams building new applications or restructuring around developer-owned quality, Playwright has become the natural starting point. 

The challenge teams run into isn’t with Playwright itself. It’s with what happens once adoption scales. 

The Gap That Appears at Scale 

Writing and running Playwright tests locally works well. Tests pass, failures are visible, and feedback is fast. 

The challenge surfaces when those tests need to run consistently across browser versions, across teams, and across every build in a release cycle. 

Each Playwright run generates its own output — logs, videos, trace files — with no centralized place to review results across runs, teams, or test types. Teams end up stitching together CI pipeline logs, local reports, and separate dashboards to piece together what passed and what failed. For engineering managers trying to understand test health across multiple projects, or for compliance teams in regulated industries that need traceable test evidence, the fragmented picture doesn’thold up. 

Running Playwright on Digital.ai Testing 

For teams already on Digital.ai Testing for mobile or cross-browser testing, Playwright fits into the same workflow — results in one place, nothing to change. 

Teams can take their existing Playwright projects, no rewrites, no migrations, no changes to how tests are written and run them on the platform. The same test code that runs in local CI runs on Digital.ai Testing. 

When tests execute, results are captured and surfaced in the same report used for mobile and cross-browser test results. Video recordings, Playwright logs, and session-specific data are all available per test run. For failed tests, a trace file is automatically attached, accessible directly from the report and viewable in Playwright’s built-in trace viewer for step-by-step debugging. 

What This Changes in Practice 

For QA engineers and automation engineers, the workflow stays familiar. Playwright tests are written and maintained the same way. What changes is where results land, in a centralized report with video and trace files already attached, rather than scattered across pipeline logs and local environments. 

For engineering managers and dev leads, Playwright results sit alongside every other test type in one place — no separate dashboard, no manual aggregation before a release decision. 

For teams in regulated industries, test execution is traceable by default. Every run is tied to a specific build, browser, and timestamp. That evidence is available and exportable without custom tooling or manual reporting work. 

Available for both SaaS and on-premises deployments

Getting Started 

Teams already using Digital.ai Testing run Playwright tests without adding new tooling or changing their test projects. Teams new to the platform can bring their existing Playwright projects as a starting point. 

Explore the documentation to run your first Playwright test on Digital.ai Testing.