Android Test Infrastructure

Instead of stacking emulators on the same VM, QA Wolf spins up an ephemeral, high-resource containers 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-provisioned emulators 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.

Define simple step relationships and the system generates the DAG and orchestrates runs across real devices, handling ordering, concurrency limits, and failure paths automatically. The Console shows the live graph, so you can see which steps are in flight, paused, or retried, and where device-to-device handoffs occur. Even multi-user or cross-device paths fit cleanly, without fragile orchestration logic.

We use WebRTC to render the remote devices 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.

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.

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.