Test authoring &Â parallel run infrastructure
Flow Automation Editor
A browser-based workspace that brings together coding, version control, and real-time test execution so you can watch runs live, dig into logs, and keep your QA process transparent.
Containerized browser orchestration
High-resource, per-test containers run in parallel by default, keep environments isolated to prevent collisions, and eliminate flakes caused by shared resources.
Run infrastructure built for deep coverage at scale
High-Resource Test Containers
Run test suites in parallel without test collisions or cascading crashes
Instead of stacking tests on the same VM, QA Wolf spins up an ephemeral, high-resource container for each run. Reusing a versioned container build—and starting a fresh container on every retry—keeps environments clean, prevents collisions, and makes performance predictable.
Pre-warmed Containers
Start tests instantly instead of waiting on build servers
Pre-provisioned browsers and environments are always ready. When you trigger a run, tests bind to a warm container in milliseconds. The pool auto-expands with load and is refreshed on a rolling schedule, keeping startups consistent, even at peak traffic.
Run Rules
Turn real user journeys into reliable test flows
You indicate what runs first, what runs next, and which steps can run together—the platform builds the underlying DAG automatically. The runtime executes that plan while the Console shows live progress, retries, and timeouts. It handles sequencing and safe parallelism out of the box, including multi-user and cross-device flows without custom scripting or fragile CI wiring required.
Selectable Browser Configurations
Test against any browser, version, and viewport
QA engineers can choose Chrome, Firefox, or Safari WebKit, and configure the viewport for responsive layouts or mobile-web apps.
The QA toolchain designed to harness AI
Interactive Live Browsers
Live execution you can watch and interact with
We use WebRTC to render the remote test browser directly in the Console with sub-second latency. You can intervene mid-run to retry a step, adjust an input, or probe a flaky selector—and the AI agent can do the same. The result is quicker triage, clearer shared context for non-technical teammates, and shorter paths from failure to fix.
Line-by-Line Execution
Fix a step without starting over
The test code and browser share the same runtime, so you can run and re-run just the lines you’re working on without restarting the whole test. Because you’re coding in the same environment that executes in CI, you can adjust selectors, re-check assertions, or advance the flow one step at a time—without any drift between local and CI.
Detailed Telemetry and Reporting
See what failed, why it failed, and where to fix it
Every run includes a unified, time-aligned record of the test with video, logs, traces, network requests, and system state. Automatically generate and assign a bug report with a link to all the necessary artifacts for QA, devs, and PMs.
Test infra like nothing you've seen before
DIY on CIÂ runners
GitHub Actions, CircleCI, Jenkins
Hosted browser clouds
BrowserStack, SauceLabs, Firebase, AWS device farm
Test isolation
Multiple tests per runner
Isolated session shared capacity
One test per container
Parallelization
Limited to available runners
Concurrency limited by plan
100% by default
Start up time
Cold start 1-4 min
Variable by provider
2-10 sec
2-10 sec
Pre-warmed <500ms
Interactive runners
None
None
Always
Live execution view
None
None
Always
Test run orchestration
Self-maintained YAML
Test-level ordering only
UI generates suite-level DAG
Artifacts &Â telemetry
None by default
Logs by default; video limited by plan
Video, traces, logs, shareable links
DIY on CIÂ runners
GitHub Actions, CircleCI, Jenkins
Test isolation
Multiple tests per runner
Parallelization
Limited to available runners
Start up time
Cold start 1-4 min
Interactive runners
None
Live execution view
None
Test run orchestration
Self maintained YAML
Artifacts & telemetry
None by default
Hosted browser clouds
BrowserStack, SauceLabs, Firebase, AWS device farm
Test isolation
Isolated session shared capacity
Parallelization
Concurrency limited by plan
Start up time
Variable by provider 2-10 sec
Interactive runners
None
Live execution view
None
Start up time
Test-level ordering only
Artifacts & telemetry
Logs by default; video limited by plan
Test isolation
One test per container
Parallelization
100% by default
Start up time
Pre-warmed <500ms
Interactive runners
Always
Live execution view
Always
Start up time
UI generates
suite-level DAG
Artifacts & telemetry
Video, traces, logs, shareable links