AI-powered mobile test automation
Replace brittle test scripts with an AI agent that reads the live UI. Describe tests in plain English, record flows once, and catch UI regressions before they ship.
The problem
Traditional mobile test automation is brittle. UI tests break with every layout change. Writing and maintaining scripts requires specialized framework knowledge. Manual QA does not scale, and teams ship bugs because regression runs take too long to fit into a release cycle.
UI tests break with every layout change
Test scripts demand specialist framework knowledge
Manual QA does not scale across releases
Regression runs take too long to fit into a release cycle
How VibeView helps.
Natural language test creation
Describe what you want to test in plain English. The AI agent translates into tap, swipe, type, and assertion actions on a live simulator. Broken flows surface in seconds, not hours.
Record and replay
Record a test by interacting with the simulator, then replay it automatically. When a replay step fails due to a UI change, the AI agent adapts and keeps the run moving.
Hybrid execution mode
The default mode replays recorded steps first and falls back to AI-driven execution only when needed. Fast on stable flows, resilient on the ones that drift.
Inline hybrid editor
Fix a recorded step without re-recording the whole flow. Edits validate against the source recording, so a change that breaks the anchor chain surfaces inline.
Fuzzy element matching
Choose how strictly replay should match elements, per run — strict, text-substring, or the test default. Replay stays predictable, and the AI takes over when the match is too loose.
Visual regression
Every suite carries warn and fail tolerances. VibeView compares each screenshot to its baseline mid-run and classifies it as ok, warn, or fail — on both AI and hybrid modes, not only at the end.
Per-step baseline acceptance
Accept a single step’s current screenshot as its new baseline from the run detail page. Tighten baselines iteratively as the UI stabilizes, instead of rebaselining the whole run.
Visual assertions
Assert that elements are visible, contain expected text, or appear in the correct state. The agent reads the live accessibility tree and targets elements directly.
Suites, sub-flows, and build pinning
Organize tests into suites and compose reusable sub-flows for login or checkout. Pin any run to a specific build to bisect a regression or confirm a fix against an older version.
TV platforms
Apple TV and Android TV run alongside iOS and Android. The AI agent handles d-pad navigation by targeting elements directly instead of chaining arrow presses.
Test analytics
Track pass rates, duration trends, and flakiness scores over time. Identify flaky tests before they slow a release and measure quality improvements over weeks.
CLI and CI integration
Run tests and suites from the command line. Results export as JSON and JUnit for any CI pipeline, and status checks post directly to GitHub pull requests.
Why teams choose VibeView.
Faster releases
Ship with confidence knowing AI covers regression across every release.
Lower maintenance
No brittle selectors to update — the AI agent adapts when the UI shifts.
Better coverage
AI explores paths manual testing misses, catching edge cases you would not script.
Team velocity
QA engineers focus on strategy and quality, not script maintenance.
Shipping AI-generated UI changes? See Verify AI-generated UI changes for fast visual verification after every edit.