Andrew Magill • 1/21/1970

Ship Fast, Don't Break - Safely Audit & Deploy AI-Generated Code

This article provides a practical guide for reviewing AI-generated code to avoid common pitfalls. It highlights how AI models can produce plausible-looking but broken code, including silent error swallowing, hallucinated APIs, and accessibility regressions. The author advises treating AI code like work from a sharp junior developer and offers specific patterns to watch for, such as empty catch blocks, invented method names, and removed accessibility attributes. The goal is to safely harness AI's speed without introducing bugs or security issues into production.

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#error handling #code review #AI Generated Code