AI didn't break your codebase. Your code review culture did

AI didn’t break your codebase. Your code review culture did

The biggest problem with AI in engineering isn’t the code it writes. It’s that we’ve never learned how to review code properly, and now that’s everyone’s full time job.

Think about what actually changes when you bring AI into your team. You stop writing code and start reading it. All day. Every day. And if you’ve worked in a professional engineering team you already know: code review is the thing everyone dreads, skips, or rushes through. We built entire cultures around avoiding it.

That’s the real crisis nobody is talking about.

Because AI is a confident junior that ships fast, never pushes back, and will walk you straight into a production bug it introduced three PRs ago and forgot about. You have to hold its hand. You have to actually read what it’s doing, not vibe check it and merge. The moment you stop, the codebase turns to slop.

So before your team goes all in on AI, ask yourself one question first: is your code review culture actually good enough to handle this? Because if it isn’t, you’re not moving faster. You’re just accelerating the mess.

And when that production bug hits that nobody understands, the stack trace makes no sense, and you’re drowning in thousands of lines of code nobody truly wrote and nobody truly owns…

Who exactly are you going to call?