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Review AI-generated React Native code the way you would any consequential change: check that it fits the repository, inspect its security and platform behavior, then gather evidence from tests and app runs. Treat these 10 items as risks to investigate—not a ranking or a claim that AI code fails at a particular rate.
1. Does the code fit this project’s React Native version?
- Compare imports, APIs, dependencies, and configuration with the versions already in the repository.
- Check the project’s lockfile and existing usage before accepting an API that merely looks familiar from a newer example.
- React Native’s TypeScript guide notes that dependency versions may need to match packages already used by the project. Documentation for React Native 0.75 or 0.78 can explain enduring concepts, but verify version-sensitive APIs against the app’s own release.
Review evidence: the change builds against the repository’s installed dependencies and follows its existing configuration patterns.
2. Do the types and static checks reveal hidden risks?
- Run the repository’s type-check and lint scripts, and inspect the changed files for
any, unsafe casts, suppressed diagnostics, or type assertions that bypass meaningful checks. - Trace data crossing JavaScript and TypeScript boundaries. React Native’s TypeScript guidance notes that
.jsxfiles are not typechecked, even when the project also uses TypeScript. - Read failures rather than treating a passing check as a runtime guarantee: static checks cannot establish that a screen, native integration, or network flow behaves correctly.
Review evidence: record which project scripts were run and whether any warnings or failures remain.
3. Did the change expose secrets or store sensitive data unsafely?
- Search the diff and configuration changes for API keys, credentials, tokens, private endpoints, and secrets copied into source or bundled configuration.
- React Native’s Security documentation says, “Never store sensitive API keys in your app code.” Values bundled with an app can be inspected; keep credentials that must remain secret on a server-side layer.
- Check persistence choices against the data’s sensitivity. React Native documents Async Storage as unencrypted and says it should not be used for tokens or secrets.
Review evidence: identify what sensitive data is handled, where it is stored, and whether any credential in the client is actually intended to be public.
#1 Best Overall
4. Does behavior work on both iOS and Android?
- Review permissions, navigation and back behavior, layout, native modules, and component properties for platform-specific assumptions.
- Look for platform branches or separate
.iosand.androidfiles where the behavior genuinely differs. React Native supports these patterns; shared JavaScript does not guarantee identical platform behavior. - Test each supported platform affected by the change rather than inferring behavior from a build or run on only one.
Review evidence: note the platform and environment used for each meaningful verification, including any platform not exercised.
5. Can people using assistive technology understand and operate the interface?
- For each interactive control, check that its accessible label, role, and state communicate what it does and its current condition.
- Follow focus order through the screen; check that related content is grouped sensibly and that focus does not skip or trap important controls.
- Exercise important flows with VoiceOver on iOS and TalkBack on Android. React Native documents accessibility APIs for both platforms and notes that their approaches differ.
Review evidence: describe the tested flow and platform, and record any controls or state changes that are not announced as expected.
Rank #2
6. Do the tests exercise user behavior, or only implementation details?
Judge tests by what they can establish. React Native recommends component tests from the user’s perspective, but those tests run in Node and do not exercise the native iOS or Android code. End-to-end (E2E) tests run against an app on a device or simulator/emulator, offering a platform-level user perspective at higher maintenance cost.
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| Validation approach | What it can establish | Important limit or trade-off |
|---|---|---|
| Component tests | JavaScript component behavior and user-visible output in the test environment | Run in Node; do not validate underlying native platform code |
| E2E tests | App behavior through user flows on a device or simulator/emulator | Slower and more prone to flakiness than component tests |
- Check that tests cover visible output, interactions, and meaningful edge cases—not just that a component renders.
- For vital flows, consider E2E coverage. React Native’s testing documentation names Detox, Appium, and Maestro as options; select according to the project’s needs rather than treating a tool name as proof of coverage.
Review evidence: map each important user outcome to the test that checks it, and distinguish component-level evidence from device-level evidence.
7. Is there release-build evidence for performance-sensitive changes?
- Inspect render work, repeated computation, logging, and long tasks on the JavaScript thread where relevant to the change.
- Do not use development-mode performance as the basis for a performance conclusion. React Native says development mode can materially affect JavaScript-thread performance and recommends checking release builds.
- Use React Native DevTools traces where available and appropriate. Feature availability depends on the project’s React Native version, so confirm that the tool supports the version under review.
Review evidence: for a change with performance implications, record the build type and the scenario inspected; avoid claiming an improvement or regression without measurement.
8. What does the user see when data is delayed, absent, or unavailable?
- Inspect the loading, empty, success, and error states, including slow responses, rejected requests, missing fields, and unavailable network conditions where relevant.
- Check that retries, cancellation, and repeated actions do not leave stale content or misleading progress indicators.
- React Native DevTools can help inspect network activity, but its documented coverage includes
fetch(),XMLHttpRequest, and<Image>; it does not cover every library or event type.
Review evidence: identify which states were triggered and how they were observed; do not interpret an empty DevTools network panel as proof that no request occurred.
9. Do navigation and native integrations work through the whole journey?
- Trace the flow from entry through success, cancellation, failure, and return. Check back actions and transitions between screens, not just the newly generated screen in isolation.
- For native modules or platform-layer changes, verify the relevant build and runtime behavior with the platform’s native tooling. React Native DevTools does not replace Android Studio or Xcode for native debugging.
- Separate React-level JavaScript inspection from native platform inspection; use the tool that can observe the layer the change affects.
Review evidence: state the journey and platform exercised, and identify native build or runtime checks where the diff crosses into platform code.
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- Ask the author or agent to list assumptions, changed files, tests actually run, and behavior left unverified. Compare that account with the diff and test output.
- Inspect generated snapshots rather than approving them mechanically. React Native warns that a snapshot can encode incorrect output as the accepted baseline.
- Base approval on repository fit, code inspection, and relevant runtime evidence. The available React Native documentation does not establish an AI-specific defect rate, so “AI-generated” is not itself evidence that a change is safe or faulty.
Review evidence: leave a concrete record of what was checked and any remaining uncertainty that affects the change’s scope.
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