AI Workflow · Step 4 of 5 — QA

AI-powered mobile app QA with Claude Code & Codex.

Traditional agencies treat QA as the last week of the project. We use Claude Code to generate test cases and integration tests as features land, Codex for regression sweeps, and a real-device matrix for the final pass. More coverage, fewer launch surprises.

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Continuous QA · Real-device matrix · Visual regression · A11y audits

fact_checkClaude Code tests
ruleCodex regression
devicesReal-device QA
accessibility_newAccessibility audits
Tools we use in this step

AI for breadth and depth. Humans for the final pass.

Claude Code writes tests as features land. Codex runs the regression sweeps. A senior QA engineer signs off on real devices before the build ever reaches the App Store.

fact_check

Claude Code

Test generation from user stories

  • check_circleUnit and widget tests written from PRD acceptance criteria
  • check_circleIntegration test scenarios that walk full user journeys
  • check_circleLong-context coverage that holds the whole spec in mind
rule

Codex

Test refactoring & regression sweeps

  • check_circleBulk refactors across the test suite when patterns shift
  • check_circleEdge-case regression tests across many files at once
  • check_circleUsed to broaden coverage without slowing the dev sprint
devices

Real-device matrix

Manual layer over the AI tests

  • check_circleHand-tested on iOS and Android device fleets
  • check_circleNetwork conditions, locales, and accessibility checks
  • check_circleUser-acceptance walkthroughs before sign-off
Inside the QA loop

QA runs in parallel with development, not after it.

1

Tests written alongside features

Claude Code generates tests as features land — not after the build is done.

2

Integration test scenarios

End-to-end flows scripted from real user journeys in the PRD.

3

Codex regression pass

Edge cases and visual regressions swept across the suite before a release candidate.

4

Real-device QA

Final hand-testing across an iOS + Android device matrix before App Store submission.

What you get

QA artifacts handed over with the build.

fact_check

AI-generated test suite

Unit, widget, and integration tests covering every feature in the PRD.

compare

Visual regression coverage

Screen-level diffs catch UI breakage before users see it.

accessibility_new

Accessibility audits

Automated checks for contrast, semantics, and screen-reader flow.

devices

Real-device test report

Hand-tested results across iOS and Android versions you actually support.

FAQ

Frequently Asked Questions

Yes. Claude Code reads PRD acceptance criteria, the screen flow, and the codebase, then generates Flutter integration_test scenarios that walk the actual user journey — taps, navigation, state, and assertions. A senior engineer reviews and tunes the scenarios, but the writing labor is automated.

Tests are written as features land, not bolted on at the end. That means coverage is broader, regressions are caught the same week they're introduced, and the senior QA engineer focuses on real-device validation and exploratory testing instead of writing boilerplate.

AI alone would. We pair Claude Code (deep test generation per feature) with Codex (broad refactors and regression sweeps across the whole suite) and finish with manual real-device QA. Each layer catches what the layer below it missed.

Both run on every build. Visual regression catches unintended UI changes screen-by-screen; accessibility audits flag contrast, semantics, and screen-reader issues. Both produce reports in the weekly Friday update.

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Development with Claude Code & Codex
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Want continuous AI-powered QA on your build?

Book a free 30-minute strategy call. We'll walk through the test matrix and how Claude Code + Codex compress QA on your specific project.