AI can generate a working feature in minutes, but working isn’t the
same as good. This module teaches you to close that gap through code
review. You’ll build a practical seven category checklist and apply
it by hand to a real SwiftUI app, then bring AI in as a second
reviewer and weigh its findings against your own. You’ll finish by
turning a single correction into a lasting project rule, so the same
mistake doesn’t reappear in future output.
By Mina H. Gerges.
Review the Tokens Dashboard app the way you’d review a teammate’s pull
request. Apply a checklist covering seven categories by hand:
correctness, architecture, performance, security, accessibility,
testing, and maintainability. Then fix four real issues found in code
generated by AI.
Bring AI in as a second reviewer of the Tokens Dashboard app. Compare an unguided baseline prompt against a structured checklist guided prompt, then check both against the manual review from Lesson 1, deciding what to accept, reject, or investigate further.
Learn how to make the standards and processes you built
through review permanent — so every future AI generation
follows your rules without being reminded.
AI-generated, author-verified
1.3M · $3 · Claude Opus 4.8 · Oct 2026
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