DEV Community: Melanie Kinzel

Your tests run locally. Your team works in sync. 💜

Melanie Kinzel — Sun, 11 Oct 2026 13:22:10 +0000

QA teams don’t just need automated tests. They need a better way to review results, share findings, and collaborate.

That’s what we’re building with XYVA.ai QA Studio.

Run Playwright tests locally. Manage QA in the browser. Bring test results together so your team can focus on what matters.

We’re excited about making collaborative QA workflows simpler — without changing where your tests run.

Building QA tools, working with Playwright, or helping teams improve their testing workflows?

I’d love to connect and exchange ideas.

🌐 https://xyva.ai

Dein Playwright-Test ist rot.

Melanie Kinzel — Sat, 10 Oct 2026 17:35:27 +0000

Und plötzlich beginnt die Screenshot-Archäologie.

Eine Person sucht Logs.

Eine andere öffnet den Trace.

Im Chat landet ein Screenshot.

Nach 30 Minuten weiß niemand: Produktfehler, Flaky Test, Testdaten oder Umgebung?

Ein roter Test ist kein Befund.

Er ist der Beginn einer Entscheidung.

XYVA macht lokale Playwright-Läufe für das Team nachvollziehbar – ohne Repository, Credentials oder Browser-Sessions aus der eigenen Umgebung zu verschieben.

Weniger „Wer schaut mal drauf?“

Mehr „Das ist der Befund. Das ist der nächste Schritt.“

Playwright #Testautomatisierung #QA #SoftwareTesting #E2ETesting

"A Minimal Playwright Failure Review Setup: Traces, Screenshots, and Logs"

Melanie Kinzel — Sat, 10 Oct 2026 07:02:26 +0000

A Minimal Playwright Failure Review Setup: Traces, Screenshots, and Logs

A red Playwright test is rarely enough to explain what went wrong.

The terminal might show a timeout. A screenshot might show an unexpected page. A trace might reveal a missing network response. But without a consistent failure setup, every debugging session starts with the same question:

Do we have enough evidence to decide what to check next?

This article shows a small Playwright configuration that keeps successful runs lightweight while collecting useful evidence whenever a test fails.

Start with evidence, not guesses

A failed end-to-end test can have several causes:

A real product defect
An outdated test expectation
An unstable locator
Missing or incorrect test data
A problem in CI, the network, or an external dependency

The first debugging goal should not be to guess the root cause immediately. It should be to collect enough context to classify the failure and assign a clear next step.

For most teams, three artifacts are enough to start:

A screenshot of the failed state
A trace that shows the steps before the failure
Logs or error details that explain what the test was waiting for

A practical Playwright configuration

The following configuration records screenshots, videos, and traces only when a test fails.

import { defineConfig, devices } from '@playwright/test';

export default defineConfig({
  testDir: './tests',

  timeout: 30_000,

  expect: {
    timeout: 5_000,
  },

  reporter: [
    ['html', { open: 'never' }],
    ['list'],
  ],

  use: {
    baseURL: process.env.BASE_URL ?? 'http://localhost:3000',

    // Keep useful artifacts only for failed tests.
    screenshot: 'only-on-failure',
    video: 'retain-on-failure',
    trace: 'retain-on-failure',
  },

  projects: [
    {
      name: 'chromium',
      use: { ...devices['Desktop Chrome'] },
    },
  ],
});

This setup avoids storing artifacts for every successful test. At the same time, a failed run produces the evidence needed for an initial review.

Why traces matter

A screenshot tells you what the page looked like at one moment. A trace provides the surrounding sequence:

Which actions the test performed
Which locators were used
What the page looked like before and after each step
Console messages and network activity
The exact error produced by Playwright

This is especially helpful when a test fails in CI but cannot be reproduced immediately on a local machine.

To inspect a trace locally:

npx playwright show-trace path/to/trace.zip

The HTML reporter also links to available traces, screenshots, and videos.

Add meaningful test steps

A trace is only as useful as the test flow it records. Named steps make a long test easier to review.

import { test, expect } from '@playwright/test';

test('a signed-in user can update a profile', async ({ page }) => {
  await test.step('Sign in as a standard user', async () => {
    await page.goto('/login');
    await page.getByLabel('Email').fill('user@example.test');
    await page.getByLabel('Password').fill('password');
    await page.getByRole('button', { name: 'Sign in' }).click();
  });

  await test.step('Update the display name', async () => {
    await page.goto('/profile');
    await page.getByLabel('Display name').fill('Alex Taylor');
    await page.getByRole('button', { name: 'Save changes' }).click();
  });

  await test.step('Verify the confirmation message', async () => {
    await expect(
      page.getByText('Changes saved')
    ).toBeVisible();
  });
});

When this test fails, the trace makes it easier to see whether the problem happened during login, data entry, saving, or the final assertion.

Use stable locators

Many false alarms originate from brittle selectors.

Prefer locators that reflect how users interact with the application:

page.getByRole('button', { name: 'Save changes' });
page.getByLabel('Email');
page.getByText('Changes saved');

For components without an accessible role or label, stable test IDs are often a better option than CSS classes or DOM structure.

page.getByTestId('profile-save-button');

A failed locator should be reviewed as a possible automation problem before it is treated as a product defect.

A simple failure review template

A test report becomes much more useful when the team records the decision that follows it.

Use a short template in an issue, pull request, or team chat:

Test:
Environment:
Observed behavior:
Expected behavior:

Available evidence:
- Screenshot:
- Trace:
- Relevant log or network response:

Likely category:
- Product
- Test
- Locator
- Test data
- Environment

Confidence:
- High / Medium / Low

Owner:
Next action:

This does not need to become paperwork. Its purpose is to prevent vague handovers such as “the login test is broken” and replace them with a concrete next step.

Keep the review lightweight

Not every failed test needs a full investigation.

A useful rule is:

If the cause is obvious, fix it and move on.
If the cause is unclear, classify the failure before assigning work.
If the same class of failure repeats, improve the test setup rather than solving each occurrence in isolation.

For example, repeated failures caused by stale test data point to a data-management problem. Repeated locator failures may indicate that the application needs stable test IDs. Repeated CI-only failures may require better environment observability.

Final thought

The value of Playwright artifacts is not in collecting more files. It is in helping a team answer one practical question:

What is the next decision, and who owns it?

Screenshots, traces, and logs provide the evidence. A small, consistent review workflow turns that evidence into action.

About the authors

Melanie Kinzel is co-founder of XYVA and works on traceable QA workflows for Playwright teams.

Dominic Kinzel is co-founder of XYVA and leads its technical development.

# A failed Playwright test is not a diagnosis

Melanie Kinzel — Fri, 09 Oct 2026 16:07:30 +0000

Your Playwright test failed.

The build is red. A notification arrives. Someone opens the report.

And then the real work begins.

Was this a product bug? A flaky test? A selector that changed? Missing test data? An environment issue? Or simply a report with too little context?

For many teams, test execution is already automated. Understanding the result is not.

The 5 questions to answer after a failed run

1. Can we identify the exact run?

Capture the essentials before discussing the failure:

Test name
Browser and environment
Commit or build reference
Execution time
The system or person that triggered the run

Without this context, a red result is difficult to reproduce and easy to misinterpret.

2. Is the failure reproducible?

One failed run is evidence, not yet a diagnosis.

Does it fail again locally? Only in CI? Only in one browser? Did it pass in the previous build?

This helps teams avoid treating every red test as a product defect.

3. Do we have the evidence we need?

A useful result review needs more than a pass/fail status:

Playwright trace
Screenshot or video
Error message
Relevant logs
Test steps around the failure

The goal is not to collect every artifact. It is to make the next decision possible.

4. What kind of failure is this?

A simple classification reduces unnecessary back-and-forth:

Product behaviour
Flaky test
Selector issue
Test data
Environment or timing
Missing context

It is fine to mark a result as uncertain. Uncertainty is better than a confident but incorrect conclusion.

5. Who owns the next action?

Every result review should end with a concrete next step:

Reproduce the failure
Fix the product behaviour
Improve the test
Investigate the environment
Collect missing evidence

And every action needs an owner.

The real bottleneck comes after execution

Playwright is excellent at running tests and producing valuable artifacts. But a team still needs to review those artifacts, align on what happened and decide what to do next.

The important question is not only:

Did the test pass?

It is:

Is the result clear enough for the team to act on?

Free Playwright Result Review Checklist

XYVA QA Studio is built for this moment: teams run Playwright locally and review results together, while code and credentials remain in their own environment.

xyva.workspace-vo-7641.chatgpt.site