SaaS • Fintech • Developer tools
CI/CD Pipeline Quality Gates
Block broken code from reaching staging or production by embedding automated E2E checks directly into your deployment pipeline.
Challenge
Without E2E validation in CI, user-facing regressions slip past unit tests and are caught only after deploy — when they are most expensive to fix. Teams that add E2E tests to CI often struggle with flakiness, slow execution, and environment mismatches that erode trust in the pipeline. When tests fail too often for the wrong reasons, they get disabled — and the pipeline becomes a rubber stamp.
Stably approach
Stably runs as a blocking quality gate in GitHub Actions and other CI providers. Tests execute in parallel against staging URLs via automatic URL replacement, so you validate real user flows without maintaining separate test environments. AI auto-heal adapts to minor UI changes, and flake detection isolates true failures — so a red build always signals a genuine regression, not test maintenance noise.
What changes
Add a one-line GitHub Action and E2E tests gate every deploy
The stablyai/stably-runner-action runs your entire test suite in parallel containers. Configure shards: 5 to split across 5 workers. It posts pass/fail as a GitHub status check — merging is blocked until the suite is green.
Same tests run against staging, preview, and production URLs
Set BASE_URL as an environment variable. Your checkout test that runs against staging.example.com in CI runs against app.example.com in production monitoring — same test file, zero duplication.
A red build means a real regression, not a flaky selector
Stably auto-retries failed tests and classifies the results: if a test passes on retry, it is flagged as flaky (yellow in the heatmap) rather than failed (red). Your team only investigates genuine regressions — not the same intermittent timeout for the third time this week.
AI auto-heal keeps the pipeline green through routine UI changes
When a designer renames a button or moves a form field, auto-heal detects the broken selector, fixes it, and shows you the diff. The test stays green, and you review the change at your convenience instead of scrambling to fix CI.
When this is the right fit
- Production incidents trace back to regressions that unit tests missed
- E2E tests in CI are disabled due to flakiness
- Deployment pipelines lack automated end-to-end validation
- Teams manually smoke-test staging before promoting to production