SaaS • Developer tools • Productivity
Release Regression Testing
Catch high-impact regressions before deploys with reliable, repeatable release gates.
Challenge
Manual regression cycles are slow, expensive, and still miss critical breakages. As your product grows, the surface area that needs testing before each release expands faster than your QA team can cover. Teams often choose between shipping fast and testing thoroughly — and when speed wins, regressions reach production. The result is hotfixes, rollbacks, and eroded customer trust.
Stably approach
Stably lets you build stable coverage for your highest-risk flows and run the full suite in CI before every release. Tests execute in parallel across cloud infrastructure, so a regression suite that took hours manually completes in minutes. AI auto-heal keeps tests current as your UI evolves, and flake detection ensures failures represent real product issues — giving every release a clear go/no-go signal without manual intervention.
What changes
Your 200-test suite runs in under 5 minutes, not 3 hours
Stably shards your test suite across parallel cloud workers. A suite that ran sequentially for hours now executes across dozens of containers simultaneously — and results post back to your CI pipeline as a single pass/fail status check.
Flaky tests stop wasting your team's time
When a test fails, Stably's flake detection reruns it and compares results. If it passes on retry, it gets flagged as flaky — not as a regression. Your team investigates real bugs, not phantom failures.
Tests heal themselves when you ship UI changes
Renamed a button from "Submit" to "Save"? AI auto-heal detects the selector change, updates the test, and shows you a diff of what changed. No manual test maintenance needed for routine UI updates.
Every merge gets a clear go/no-go signal
Stably integrates as a required status check in GitHub. If any critical flow — login, checkout, onboarding — breaks, the merge is blocked. No more "let's just ship it and see."
When this is the right fit
- Weekly regression runs take hours or days
- Teams rerun failed tests to separate flakes from bugs
- Critical fixes are delayed by QA bottlenecks
- Regression coverage shrinks as the product grows