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QA Testing

Test your app before Apple does.

Stora runs AI test agents on real iOS simulators and Android emulators. They navigate your app, catch crashes, verify functionality, and spot visual regressions — so you ship with confidence instead of hope.

12 min
typical exploration run across a mid-complexity iOS app with 30+ screens
95%
of crashes our test agents catch reproduce on the first replay — no flaky tests
Video + trace
every finding ships with a recorded replay and a full stack trace
iOS + Android
same test surface runs across both platforms, finding platform-specific bugs
FIG 2.0

Everything you need. Nothing you don't.

01

AI exploration

Agents drive your app like a user would — tap through flows, fill forms, paginate lists — without scripted test plans. Finds bugs static tests miss.

02

Real simulator fleet

iPhone 12 through iPhone 16 Pro Max, iPads, and Android API levels 26 through 34 — all available on-demand. No local device lab.

03

Crash + regression detection

Signal 11, ANRs, and visual diffs across releases. Every finding comes with a reproducible video + stack trace.

04

Gate the release

Wire QA into your submission pipeline. Critical test failures block submit automatically; warnings surface for human review.

FIG 2.1 — How it works

From unknown quality to submit-ready.

  1. 01

    Upload or connect

    Point Stora at your repo or upload an .ipa / .apk. Agents install the binary on a fresh simulator and warm it up.

  2. 02

    Agents explore

    Test agents navigate your app following the flows you marked as critical (or the ones they discover). Captures screens, logs, timing, and crashes along the way.

  3. 03

    Findings ranked

    Crashes are P0, ANRs are P1, visual regressions are P2, flow-completion failures are ranked by depth. You see blockers first.

  4. 04

    Gate the submission

    Configure blockers. QA can veto a submission automatically, or just advise. Either way, every release has a signed QA trail.

FIG 2.2 — Deep dive

Why AI-driven exploration finds more.

Scripted test plans go stale the moment you ship a new screen. Someone has to update the test; nobody does; the coverage gap grows. AI exploration sidesteps this — the agent reads your current UI and decides where to tap, swipe, or type based on what's actually on screen, not on an old test script.

That doesn't mean it's non-deterministic. Every exploration run is seeded and replayable. You can re-run the exact same sequence of taps against a new binary to verify a fix, or to bisect which release introduced a regression. Non-determinism was only ever a problem with LLM-driven *test authoring*, not LLM-driven *test execution*.

For the tests you do want scripted — your core purchase flow, your signup path, the exact steps leading to a known bug — Stora accepts hand-authored XCUITest and Espresso suites alongside the AI exploration. Use both: scripts for the paths you never want to regress, exploration for the paths users actually take.

FIG 2.3 — Who it's for

Who saves the most time.

Teams without a QA hire
You cannot justify a dedicated QA engineer, but you keep shipping bugs. Agents fill the gap at ~$0.50 per release.
Teams adding features fast
Every new screen doubles your test burden. AI exploration adapts to new screens automatically; your script lag stops growing.
Cross-platform teams
iOS-specific and Android-specific bugs are hard to catch without parallel test infra. Same tests run both ways.
Accessibility-focused teams
A11y audits happen inline — VoiceOver label coverage, dynamic type scaling, contrast. Blocker findings include the a11y rule violated.
Regulated apps
Audit trails retained per run. "We tested this binary on this date and found these issues" is automatic evidence.
FIG 2.4 — Questions

Frequently asked.

Can this replace my human QA team?
No — it replaces the boring 80%. Humans catch judgment-heavy bugs (is the copy clear? does the flow feel right?) that agents miss. Use both: agents for regression and crash coverage, humans for product-sense validation.
What about my existing XCUITest suite?
Stora runs XCUITest and Espresso suites in the same fleet as the exploration agent. Results are merged into a single report.
How do you handle login / auth in tests?
Configure a test account once (email/password, OAuth token, magic-link shim). Agents know to use it when encountering a login screen, and never leak the credentials into logs.
Can I test on physical devices?
Not yet — today everything runs on cloud simulators + emulators. Physical-device fleet access is on the roadmap for enterprise plan.

Ready to ship?

Connect your GitHub repo and let agents handle the rest. Your next release, out the door in minutes.