Fighting Code Rot with AI: GNEISS Detects Hidden Architectural Decay

As AI-generated code increasingly enters production, maintaining architectural integrity becomes critical—but traditional linters miss structural issues like circular dependencies and module tangling. GNEISS addresses this gap by treating architecture as a graph problem, using neural networks to automatically detect where codebase structure is breaking down. This approach offers developers a practical tool to maintain code quality and system design coherence in an era of AI-assisted development.