Amazon has called a mandatory engineering-wide meeting and is implementing a new policy requiring senior engineers to review and sign off on any code changes that were written or assisted by AI tools. The move comes after a series of service outages that the company has linked, at least in part, to AI-generated code being deployed without sufficient human oversight.

The policy represents a significant course correction for one of the world's largest technology companies, which has been an aggressive adopter of AI coding tools. Amazon's internal findings suggest that the speed at which AI can produce code has outpaced teams' ability to properly vet it, creating new categories of risk in production systems.

This is not a retreat from AI-assisted development, but rather an acknowledgment that guardrails need to be built around it. The new approval process is designed to add a layer of experienced human judgment before AI-generated code reaches systems that customers depend on.

What This Means for Your Business

If your organization has adopted AI coding tools to accelerate software development, Amazon's experience is a direct warning. Speed gains from AI code generation can be offset — or reversed — by the cost of outages and remediation if human review processes are not updated to match. Now is a good time to audit your own deployment pipelines and ensure experienced engineers are formally accountable for AI-assisted changes before they go live.