I’ve been writing code for years, and honestly, a lot of the code I see from juniors or even from myself on a tired Friday is just as messy as anything an AI spits out. We don’t demand full human review for every line of human-written code, so why hold AI to a different standard? The key is context. If I’m using a well-known AI tool for a simple script or boilerplate, the risk is minimal. Expecting a human to review every single line isn’t practical—it kills the whole speed advantage. Sure, critical systems need checks, but blanket rules just slow innovation. Trust, but verify when it matters.

Look, nobody wants buggy code crashing a banking app or

The real question isn't whether AI code needs review, but what kind of review makes sense. My opponent keeps pushing this all-or-nothing idea that every AI-generated line needs a human eye before it can exist. That's just not how software actually works. We rely on tests, automated linters, and peer review for human code – and that same safety net catches AI mistakes too. If I ask an AI for a simple regex or a boilerplate function, running a unit test is far more meaningful than having someone stare at it. And yes, for a banking app or medical system, you bet I'm reviewing everything. But the blanket rule ignores context. It treats a hobby script the same as flight control software. That's not caution, it's just paralysis. The right answer is risk-based review, not pretending every line deserves the same scrutiny. AI speeds us up; forcing human review on every trivial output throws that away for no real safety gain.