Connect your app and Zerocheck scans it to auto-generate tests in plain English. Tests adapt when your UI changes and produce SOC 2 evidence on every run — all from your PR.
For teams that ship faster than they can test
84% of CI failures are flaky - not real bugs.
Atlassian wastes 150,000+ dev hours per year on flaky test reruns - in a single repo.
The average team spends 2–6 months getting meaningful E2E coverage. Most give up within 3.
Google Testing Blog, Atlassian Engineering (2025), State of Testing Report
Sound familiar?
“A flaky test is worse than no test”
“Test suite graveyard”
Hacker News
“Don't ship on Fridays”
Industry common
“Easy to own 50 tests. At a thousand, nobody volunteers to fix them.”
Hacker News
“We mock Stripe and pray”
DEV Community
“We re-run the pipeline and hope it passes”
Hacker News
“Our postmortem said add a test. Nobody did.”
DEV Community
“20+ hours per week maintaining tests”
World Quality Report
Zerocheck reads your PR diff, maps changes to affected user flows, and generates targeted tests automatically. You get a confidence score per PR — not just pass/fail — that accounts for what changed and how reliable the results are. No test authoring. No coverage gaps that grow with every sprint. Handles the flows most tools skip: OAuth redirects, payment iframes, magic link emails, and MFA challenges — without disabling security or mocking third parties.
For teams that spend more time maintaining tests than writing features
See how auto-generated tests work →CSS selectors break every time you ship a UI change. At 50 tests, you fix them. At 500, nobody volunteers — the suite rots and CI becomes a re-run-and-hope ritual. Zerocheck interacts with your UI visually, the way a real user would. No selectors, no data-testid attributes to add, no DOM paths to maintain. Every adaptation is visible and auditable.
For teams that stopped trusting their test suite after the last refactor
See how Zero-to-CI works →Results posted as a PR comment with step traces, screenshots, and pass/fail per flow. Flaky tests are classified separately from real failures. Tag tests with SOC 2 control IDs and every run generates a timestamped, commit-bound evidence artifact. Vanta covers infrastructure — Zerocheck covers the 20% application testing gap that is still manual screenshots.
For teams where audit prep still means two engineers, two weeks, and 200 screenshots
See SOC 2 evidence automation →Beyond pass/fail
Your unit tests mock Stripe. In production, the SDK update changes how the payment form renders and your mocked tests never saw it.
The button exists in the DOM. It passes getByRole. But overflow:hidden makes it invisible to real users.
A developer changes expiry from 24h to 1h, but a seconds-vs-milliseconds bug makes links expire instantly. 200 users locked out.
The A/B test variant served to 50% of new users crashes after a library bump. Your tests only cover the control group.
How it works
Each one happens automatically. No framework to configure, no selectors to write.
Paste your staging URL and connect GitHub. No config files, no CI setup.
Write in plain English or let Zerocheck generate tests from your PR changes automatically. No selectors, no maintenance.
Tests execute on every pull request. Only the tests relevant to your change run — typically 3–8 tests in under 5 minutes, not 500 tests in 45 minutes.
PR comment with pass/fail, step traces, screenshots, and compliance evidence.
See it run on your app. 15 minutes, no commitment.
See it run on your appMost teams do. Then they spend 55% of their week maintaining selectors, debugging flaky tests, and manually compiling audit evidence. The framework is free. The 3 months of infrastructure work and ongoing maintenance aren’t.
Zerocheck isn’t replacing Playwright. It replaces the engineering time you’d spend making Playwright actually useful: building the CI integration, writing the selector strategy, handling auth flows, and generating compliance artifacts. You keep your existing stack. We handle the parts nobody wants to maintain.
| DIY Playwright | QA Wolf | Zerocheck | |
|---|---|---|---|
| Annual cost | $0 + $150K+ eng time | ~$96K/yr managed | Scope-based, transparent |
| Who writes tests | Your engineers | Their engineers | AI from your PRs |
| Maintenance | 20+ hrs/week | Their team | Intent-based, near zero |
| Setup | 2-6 months | 1-4 weeks | 2 minutes |
| You own tests | Yes | No (their team) | Yes |
See how Zerocheck compares
That is true for most of them. Selector-based “self-healing” tools guess which element you meant when a CSS class changes. They guess wrong often enough that 46% of developers now distrust AI testing accuracy. When tests heal silently, you cannot tell if they healed a real bug away.
Zerocheck does not heal selectors because it never creates them. Tests describe user intent in plain English. The interaction layer is visual, not DOM-based. When the UI changes, every adaptation is visible and reviewable with confidence scores. Tests fail closed when confidence drops instead of silently passing.
And plain English specs are not Cucumber. Gherkin maps natural language to step definitions that still contain selectors — they break the same way coded tests break, just with extra indirection. Zerocheck has no step definitions, no selectors, and no glue code. The AI interprets intent directly and interacts with the UI visually.
Stop hunting for screenshots before every audit. Every test run generates timestamped, exportable compliance evidence.
Learn more →Go from zero tests to a green CI pipeline in under an hour. No framework setup, no selector strategy, no QA hire.
Learn more →The average payment incident costs $12K+ in failed transactions. Test Stripe and cross-origin checkout flows on every PR.
Learn more →Test magic links, onboarding emails, and password resets in CI. Because nobody else does - and every PLG app depends on them.
Learn more →84% of CI failures are flaky, not real. Separate signal from noise and stop your team from re-running and hoping.
Learn more →Zerocheck reads your PR diff and generates the right tests automatically. No manual authoring, no selector upkeep, no 20 hours a week on maintenance.
Learn more →We’ll generate tests from your real PR diffs and show you the evidence artifacts. No slides, no commitment.