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Use Playwright’s code generator to record a browser journey, then review the generated test before relying on it. To scale, make tests independent, choose projects for the coverage you need, and increase concurrency deliberately: workers run tests within a job, while shards distribute work across CI jobs or machines.
Generate a test by recording a browser journey
Install Playwright in your project first, then run codegen with the page you want to exercise:
npx playwright codegen https://your-site.examplePlaywright opens a browser and the Inspector. Perform a representative journey in the browser; the Inspector generates code as you interact. When finished, stop recording and copy the generated test into your project. The URL is optional: running npx playwright codegen opens the browser without navigating to a supplied address. See the Playwright codegen guide.
Review the generated test instead of treating it as finished coverage
Codegen proposes locators, prioritizing role, text, and test-id locators. When a locator matches multiple elements, it attempts to make the locator unique. That does not establish that it targets the right control or that the test verifies the intended outcome. Check the generated locators against the page semantics, add or correct assertions for the behavior that matters, and review setup and expected results. A recorded click sequence alone is not proof that the feature works. See Playwright’s best practices.
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Record signed-in flows without leaking authentication state
To record a journey that requires an existing login, you can load saved browser state:
npx playwright codegen --load-storage=auth.json https://your-site.exampleThe saved state can restore cookies, local storage, and IndexedDB for the recording session. Treat the file as a credential: use it locally, exclude it from version control, and delete it when it is no longer needed. Do not commit a real account’s authenticated state. The codegen documentation describes storage-state recording and use.
Organize browser and environment coverage with projects
A Playwright project is a logical group of tests that shares configuration. Projects let one test suite run with different browser or device settings, against different environments, or as distinct test groups. Use them to make the intended coverage explicit rather than duplicating tests just to vary configuration. See Playwright projects.
Use dependencies for setup that must happen first
Project dependencies allow setup projects to run before the projects that depend on them. This can express prerequisites in the test configuration. Dependent browser projects still consume workers when they run, so plan concurrency for the whole matrix, not just one project. Configuration options are documented in the configuration reference.
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Choose workers or shards based on where you need concurrency
| Strategy | Where work runs | When it fits | Key constraint |
|---|---|---|---|
| Workers | Multiple worker processes within one Playwright test run | A machine or CI job has enough resources and tests are independent | More workers consume more CPU and browser memory; workers do not share in-memory state |
| Shards | Separate portions of the suite across machines or CI jobs | You want to distribute a larger suite across available CI jobs | Requires CI orchestration and results from the separate jobs to be collected appropriately |
Playwright runs test files in parallel by default; tests within a file run in order by default. Parallel execution uses separate worker processes, so tests cannot rely on shared in-memory state. Make tests independent and isolate test data and accounts before raising concurrency. The parallelism guide explains workers and sharding.
Set a worker limit for a local run
For example, this command limits the run to four workers:
npx playwright test --workers=4Four is an example, not universal tuning advice. The useful limit depends on available CPU, browser memory, CI resource limits, and whether tests contend for shared accounts or data. Use fewer workers if resource pressure or test interference makes results unreliable.
Distribute the suite with shards
A shard selects a fraction of the suite for a run. For example, this runs shard two of three:
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npx playwright test --shard=2/3Run the other shard indices as separate jobs to distribute the suite across machines or CI jobs. The shard command selects work; your CI configuration is responsible for starting the jobs and handling their outputs. Review the sharding guidance alongside your CI provider’s workflow.
Configure CI for stability before maximizing parallelism
Playwright’s CI guide recommends one worker in CI to prioritize stability and reproducibility. That is a stability-oriented starting point, not a rule that fits every machine or suite. If the suite needs wider execution, sharding lets CI distribute work across jobs while keeping each job’s worker count controlled. Available hardware and resource limits matter.
npx playwright test --workers=1When deciding how to scale, weigh the location of concurrency (workers in a job or shards across jobs), available CPU and browser memory, test-data and account isolation, the browser/device/environment matrix, and the time needed to diagnose failures. See Playwright’s CI guide.
Use retries as diagnostic evidence, not a fix
Retries are disabled by default. If a test fails on its first attempt and passes on retry, Playwright reports it as flaky; if it continues to fail through its retries, it remains failed. A retry can expose intermittency in reports, but it does not correct the underlying cause. Investigate flaky results for timing assumptions, shared state, unstable dependencies, or resource contention instead of treating a retry pass as an uncomplicated success. Retry and trace settings are in the retries guide and configuration reference.
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Useful commands for the workflow
npx playwright codegen https://your-site.example— record a journey and generate a test draft.npx playwright test --project=chromium— run the selected project.npx playwright test --workers=4— cap a run at four workers; tune to the environment.npx playwright test --shard=2/3— run the second of three shards.
CLI options may change across Playwright versions. Check the documentation matching the version installed in your project; the CLI reference lists current command options.
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Codegen does not open or the command is not found
Run the command from the project where Playwright is installed and use npx playwright so the project’s package version is invoked. If the command still fails, install or initialize Playwright for that project and check the error output for missing browser dependencies.
The generated locator selects the wrong element
Inspect the page for duplicate labels or controls and verify the target’s role, accessible name, text, or test id. Replace an ambiguous locator with one that identifies the intended element, then assert the resulting behavior rather than only the action.
A recorded signed-in flow appears logged out
Confirm codegen was launched with the intended storage-state file and that the state is valid for the target site and account. Cookies and browser storage can expire or differ by origin. Do not solve this by committing a live authentication file.
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Look for shared accounts, colliding test data, mutable global state, and CPU or memory pressure. Isolate the data each test uses, then raise worker count in measured increments. If one job lacks resources, distribute work through CI shards instead of adding more workers to that job.
Retries make a run look green despite failures
Check the report for tests that passed only after retry and investigate them as flaky. Retries are useful for surfacing intermittent behavior; they are not evidence that the first-run failure has been repaired.
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For a screenshot rather than an interactive test, ScreenshotNeo is a website screenshot API and MCP server. One GET request can return a screenshot or PDF; its API is not a replacement for Playwright test assertions or browser-automation workflows. For a PNG screenshot, save this response as shot.png:
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Frequently Asked Questions
Does Playwright codegen create a complete test automatically?
No. It records interactions and proposes locators; review the assertions, target elements, setup, and expected outcomes before relying on the test.
Should I increase workers or add CI shards first?
Use workers when a job has spare resources and tests are independent. Use shards to distribute the suite across jobs or machines when additional within-job concurrency is not a good fit.
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