Your new AI coding assistant is a miracle... until it's not. 🤖
It writes boilerplate in seconds. It refactors code instantly. But it also confidently suggests buggy, insecure, or just plain wrong solutions. The real challenge isn't prompting it for code; it's the cognitive overhead of constantly vetting its output.
We've swapped the pain of typing for the pain of debugging a black box.
The future isn't about replacing developers with AI. It's about building systems where AI provides verifiable, context-aware suggestions, not just clever autocomplete. The goal should be to reduce mental load, not just keystrokes. We need smarter tools that understand our entire codebase, architecture, and standards.
Until then, treat your AI assistant like a junior dev on their first day: trust, but always verify.
What's the wildest "hallucination" you've seen from an AI coding tool? 👇