I Built a 2300-File Codebase with AI. How I Prevented Architectural Drift

I spent 1500 hours building an app with AI coding assistants. The code compiled and tests passed. But it was full of silent issues: patterns violated, conventions ignored, technical debt accumulating invisibly. This is the hidden cost of AI-assisted development. The code works today. The codebase becomes unmaintainable tomorrow. I built a tool to prevent this, then benchmarked it across 5 different AI models. Key finding: top-tier models don't need help writing working code. They need help writing code that belongs. Full analysis and open source tool linked below.