The AI Approval Process: Why Amazon's New Policy Matters for Every Dev Team

Amazon just made a significant change to their deployment process: senior engineers must now sign off on all AI-assisted code changes before they go to production. This comes after a series of outages linked to AI-generated modifications. But this isn't just an Amazon problem—it's a wake-up call for the entire industry. We've been living in the golden age of AI coding assistants. Tools like Copilot, Cursor, and Claude have revolutionized how we write code. They're fast, they're helpful, and they can churn out solutions in seconds. But speed without scrutiny is a recipe for disaster. The issue isn't that AI writes bad code—it's that AI writes plausible code. Code that looks right at first glance but might miss edge cases, ignore security implications, or introduce subtle bugs that only surface under production load. Human developers make these mistakes too, but we've built decades of review processes around human work. We haven't yet adapted those processes for AI output. Amazon's polic