The AI Code Blindspot Problem: Why Your Tech Team is Losing Their Grip on Your Codebase
SMRTR summary
AI-generated code is rapidly growing in software development, predicted to reach 75% or more of codebases. This trend challenges engineers and organizations, making it difficult to understand, maintain, and diagnose issues in AI-written code, while also risking loss of institutional knowledge. To address the "Code Blindspot Problem," new tools and approaches are needed. Companies like Hexmos are developing solutions to provide visibility into complex codebases, map API endpoints, and help teams adapt to AI-driven development.
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