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Use AI and code together

QA Wolf is most effective when AI and code are used together. Use AI to:
  • Plan coverage and identify gaps
  • Scaffold new flows
  • Make quick updates as the product changes
Use code to:
  • Add precise logic and assertions
  • Create reusable helpers
  • Handle complex or conditional behavior
While editing, you can switch between AI-assisted No-code mode and Code mode at any time, making it easy to start fast and refine over time.

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Organize tests around real user paths

Group related tests into flows that represent meaningful user journeys. This makes failures easier to understand and investigation faster.
  • Keep flows focused on a single user goal
  • Expand coverage incrementally as the product evolves
  • Quarantine broken flows when a fix will take time, so scheduled runs remain useful
The goal is a signal-rich test suite that highlights real risk, not noise.

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Let runs work for you

Scheduled runs automatically execute your flows and record detailed results for each attempt. Use tags and schedules to run the right tests at the right time, such as on every commit or nightly. Run history becomes a reliable source for:
  • Regression tracking
  • Flakiness detection
  • Performance trends

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Share results where work happens

QA Wolf integrates with Slack, so test results are visible as soon as they’re available.
  • Get notified when runs fail
  • Share links to runs and failing flows
  • Coordinate investigation without leaving your team’s main communication channel
This keeps quality signals part of everyday development work.

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Who QA Wolf is for

QA Wolf supports multiple roles involved in release quality. Each role uses the platform differently, but all work from the same runs and results.
  • QA Engineers build and maintain flows using AI and code, manage retries and Run Rules, and keep the test suite reliable.
  • Manual testers use AI-assisted editing to turn exploratory testing into repeatable coverage and validate recent changes.
  • Product/Project managers review run results to assess release readiness and risk—without writing tests.
QA Wolf works best when these roles collaborate around the same automated runs.

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Get set up early and grow intentionally

To get started, you’ll need a QA Wolf account and access to the application you want to test. Create environments that mirror your app’s deployment, then start with a small set of high-value flows. Expand coverage as your product evolves. QA Wolf is most effective when the test suite grows alongside the application, not all at once.
Last modified on February 9, 2026