AI Loves to Over-Engineer Your Code (And You're Letting It)

You ask an AI to write a function that adds two numbers. You get back a factory pattern, a dependency injection container, three abstract classes, and a README. I've been watching this pattern play out for months now, and it's genuinely hilarious — until you realize people are shipping this stuff to production. The Enterprise Pattern Reflex Here's what happens: you prompt an AI coding tool with something dead simple. "Write a Python function to read a CSV file." A human would give you five lines. The AI gives you a CSVReaderFactory with configurable parsing strategies, an abstract DataSource interface, custom exception hierarchies, and a config loader that reads from YAML. It's not wrong, exactly. It's just absurdly overkill. The AI treats every problem like it might need to scale to a million users by Thursday. It doesn't know your context. It doesn't know this is a throwaway script to clean up a spreadsheet for your boss. So it defaults to the most "professional" patterns it absorbed