The 5 Rules for Not Breaking Production with AI

Source: Dev.to

Introduction

We’ve all been there: you ask ChatGPT for a quick helper function, it spits out dozens of lines that look legit, you paste them in, and—boom—CI turns red and your PR gets roasted. After writing about AI tooling for my book and learning the hard way, I’ve settled on a few guidelines that keep me out of trouble (most of the time) when working with these tools.

The 5 Rules for Not Breaking Production with AI

1. Treat AI suggestions as a starting point, not a finished solution

Think of the AI like that confident coworker who’s wrong about 30% of the time. Use its output as a draft, then verify and improve it yourself.

2. Expect hallucinations

AI doesn’t second‑guess itself. It can invent entire APIs that don’t exist and sound completely sure about them. Always double‑check any references, imports, or external calls it suggests.

3. Keep the codebase manageable

Debugging five lines you tweaked is easy. Debugging 500 lines of AI‑generated code you don’t fully understand can consume an entire weekend. Limit the amount of AI‑generated code you accept without review.

4. Avoid “magic” logic

If the logic feels like magic, it’s not clever—it’s a time bomb. You can’t maintain what you can’t explain, so ensure every piece of code is understandable and testable.

5. Remember you’re on call, not the AI

When the site goes down at 3 AM, you’re the one getting paged. Treat AI as a tool, not a teammate that can take responsibility for production incidents.

Bottom Line

AI makes typing faster, but it doesn’t make thinking optional.

Discussion

What’s your “vibe check” process for AI‑generated code? How do you catch sketchy stuff before it ships? Share your war stories below.