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How do you review AI-generated portal code before accepting it?

Check behavior, scope, data boundaries, and maintainability rather than judging a change only by appearance.

How do you review AI-generated portal code before accepting it?

Generated code can render a convincing page while using fixtures, bypassing contracts, or losing state. Review both the change and the user journey.

Inspect the implementation

Check whether the code follows existing patterns, uses the intended API, and keeps secrets out of browser bundles. Look for duplicated business rules, unnecessary dependencies, and unrelated refactors. Confirm that user-provided content is handled through the application’s normal rendering and validation paths.

Run meaningful scenarios

Exercise creation, save, reload, failure, and cross-account access where relevant. Ask the assistant to explain a confusing decision, then verify the explanation against the code. Compare the diff to the acceptance criteria and separate unresolved issues from completed work. A useful review result states what was checked and what remains uncertain; it does not rely on the assistant’s confidence.

No. Verify its data flow, persistence, permissions, and failure behavior.

No. Remove unnecessary complexity when a simpler implementation fits existing conventions.

Relevant behavior checks, a focused diff, and a clear account of any remaining limitations.

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