Developers must implement rigorous manual reviews for AI-generated code to ensure quality and security, as automated systems often overlook critical issues like edge cases, over-engineering, and potential vulnerabilities. This process is essential because AI lacks context about specific business requirements and technical environments, leading to significant increases in technical debt if not properly vetted.
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