The rapid adoption of AI-generated code tools like Claude Code, Copilot, and Cursor has outpaced traditional human code review processes,

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AI coding assistants like Claude Code, GitHub Copilot, and Cursor are generating code faster than engineering teams can review it, creating a growing quality and security bottleneck. This article explores why traditional code review no longer scales, the risks of AI-generated code, and practical strategies—from automated analysis to risk-based reviews—to maintain software quality without slowing development.