Conclusion

From the seven category review checklist, four fixes went into this app: A correctness fix, an architecture fix, and two maintainability fixes. The remaining categories came back clean. That’s a normal, honest shape for a code review: Not everything needs fixing, and knowing which categories are actually fine is as useful as knowing which aren’t.

Key Takeaways

• Vibe coding treats a working run as the finish line. AI-augmented development treats it as the starting point for review.
• A repeatable seven-category checklist covering correctness, architecture, performance, security, accessibility, testing, and maintainability keeps a review from depending on what you happen to notice that day.
• Not finding an issue in a category is a valid, useful result. A review that invents problems to seem thorough produces noise, not value.
• AI-generated code can be clean and well-structured and still contain subtle issues. The naming inconsistency, the force-unwrap, and the duplicated logic in this app were all invisible at runtime.

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