“AI code is low quality.” “It’ll destroy craftsmanship.” “It’s the end of real engineering.” Spare me. Let’s talk about what actually threatens your codebase — because it’s not AI.
If you’re this terrified of AI-generated code, answer me this: what happens when you hire two new developers tomorrow?
Your New Hire Is the Same “Risk”
A fresh developer walks in. They don’t know your architecture. They’ve never seen the three-year-old Slack thread explaining the workaround in your payment module. They will misuse your abstractions, break your patterns, and introduce inconsistencies. That’s not a hot take — that’s every onboarding ever.
And somehow, the codebase survives. Because you have code reviews. Linters. Static analysis. CI pipelines. Automated tests. You built an entire system to catch bad code regardless of who writes it.
So why does that system suddenly stop working when AI is involved?
The Double Standard Is Embarrassing
AI-generated code hits the same PR review, the same linting rules, the same test suite as everything else. If it can’t pass — great, your safeguards did their job. If developers are merging it without review — that’s not an AI problem. That’s a broken culture. And that existed long before anyone opened Copilot.
You don’t get to blame AI for a discipline problem your team already had.
Be Honest About What’s Really Going On
If AI-assisted code keeps you up at night, the problem isn’t AI. The problem is you don’t trust your own process. And if you don’t have the safeguards to catch bad code from any source — human or machine — then AI was never your biggest risk. Your next hire was.
Stop blaming the tool. Fix your process. That’s the conversation worth having.