How to Review AI-Generated Business Logic

Reviewing AI-generated business logic is difficult when the logic is scattered across route handlers, services, validation helpers, database operations, and response formatting. Reading every file is possible, but it is slow and easy to miss path-level issues.

A visual logic flow gives teams another review surface. Developers can inspect where a request enters, what validation runs, which data operations happen, where branches split, and what result each path returns.

This does not replace source code review. It makes the first pass more targeted. A tech lead can identify the important paths, then inspect the generated files that implement those paths.

Runtime behavior should also be part of the review. If the flow says a branch returns an error but the API responds differently, the generated backend needs correction before deployment.

Nerdics connects these steps by showing generated backend logic as flows and running the code in a sandbox. That makes AI-generated business logic easier to verify before it becomes production risk.