Pull Request Testing

Shift to the left (real smooth now)

Own the tests, reduce the upkeep
Multiply the hours spent on false-positives and maintaining tests by the number of PRs you ship each day. That reclaimed engineering time
is the ROI. 


Get your team something nice :)
Parallel testing parallel PRs
Run 100% of your tests in parallel. Then run 100% of your tests in parallel on 100 parallel PRs. Now do it an unlimited number of times each day—without managing test data or causing collisions.

Works with your stack
GitHub Actions
GitLab CI
Jenkins
CircleCI
Vercel
Okteto
...and everything else using webhooks

The burden of testing multiplied by your velocity

The biggest blocker to continuous delivery is the inability for QA teams to keep pace with the amount of test investigation and maintenance required by product engineering shipping multiple times a day.

For in-house teams, around 15% of end-to-end tests fail each time a suite is run, and investigating those failures can take hours or days. Multiplying that time and cost by the number of pull requests a team merges each day (then adding in the constant data collisions and the infrastructure to run so many tests each day), and it’s clear why PR testing is only accessible to the biggest and best-funded teams.

The value of shifting left (testing as close to the initial development as possible) is obvious: Catching bugs before they’re merged to a shared environment keeps pipelines clear, improves quality, and speeds up delivery.

And QA Wolf makes it possible for any team. Connect your preview environments, and tests run automatically from there.

How it's done

When devs push a PR to preview a webhook calls QA Wolf

These can be static preview environments or ephemeral.
diagram showing how QA Wolf is called via a webhook
diagram showing each test in it's own container managed by it's own k8 cluster

Each test is launched in its own container, and each environment is managed by its own k8s cluster

Isolated tests run faster, flake less, and are easier to review.

PRs are held if tests are failing

While AI and humans re-try and update the test scripts.
QA Wolf app PRs being held
qa wolf runner

AI knows when a change was intentional

By accessing the test runner on the preview environment, our AI can decide what to do:
If the change was intentional, the test is updated to match.
QA Wolf code editor
If the change was a mistake, a bug report is filed.
example bug report
Some disclaimer text about how subscribing also opts user into occasional promo spam

FAQs

Our PR testing feature runs automated end-to-end tests on your pull requests before they are merged. This helps catch issues early, providing immediate feedback to developers and ensuring that only fully tested code makes it into your testing environment and your main codebase.

When you create a pull request in your SCM, it automatically triggers a deployment of that code to a static or ephemeral preview environment and run tests against it. If any of the tests fail, the PR will be blocked from merging.

QA Wolf helps teams catch bugs before pull requests are merged by running automated end-to-end tests on every PR. 

Teams can use QA Wolf’s Agentic Automated Testing tool to generate and run Playwright and Appium tests in CI, or choose QA Wolf’s managed service where dedicated QA engineers build, run, and maintain the entire test suite. Tests run fully in parallel, flakes are eliminated, and failures clearly surface real issues so your team can merge with confidence.

Yes, we can handle multiple pull requests simultaneously. Each pull request triggers its own set of tests in an isolated preview environment, ensuring that every change is thoroughly tested without interference from other ongoing tests.  You are given a certain number of concurrent pull request slots. If your team exceeds the number of concurrent slots, those requests are queued and run once a slot frees up.  You can also upgrade to increase your number of concurrent slots.

Wherever is easiest for you: On the QA Wolf platform, in GitHub, GitLab, or any other SCM you use.

Are you ready for pain-free releases?

Keep reading

AI
3 Types of AI Testing Tools Compared: Which is Right for Your Team?
Research & technology
What Happens in Orgs Where Devs Manage End-to-End Tests
Web app testing
What is Cross-Browser Testing?