Developer Rebuilds Failing AI-Generated Backend Using Layered Architecture

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A developer was brought onto a project that appeared functional on the surface but suffered from intermittent server errors and unpredictable behavior. Investigation revealed that routes were handling business logic, database calls, and validation all in one place, creating a tightly tangled codebase. The developer reorganized the system around a layered architecture, separating concerns so that changes in one area would no longer cause unexpected failures elsewhere. The fix highlighted a broader issue with AI-generated code: while AI can produce code quickly, recognizing when a codebase needs structural rethinking rather than more code requires human judgment. The developer also noted that technical solutions depend not just on skill, but on team trust — the frontend developers had already identified the problem but needed someone with authority to act on it.

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