HOS-Vibe-Guard

To detect template trap projects during vibe coding, evaluate your project proposals to identify low-value development requests like Todo apps. The system scores engineering value across six dimensions and flags 20+ high-frequency template patterns with confidence scoring to prevent engineering degeneration.

A template trap in software architecture is a low-value toy project, such as a pomodoro timer, that wastes development time and causes engineering degeneration. Identifying these patterns allows you to map them to real engineering systems with concrete architecture upgrade paths and concept evolution.

To upgrade a basic CRUD system to a high-engineering-value architecture, use a project upgrade engine that maps toy projects to real engineering systems. It provides concept evolution and migration paths based on multi-dimensional scoring to ensure your project moves beyond template patterns.

Yes, you can scan for hardcoded API keys and insecure storage patterns in AI-powered development environments. A security guard layer scans for tokens, PII leaks, and insecure storage patterns, providing actionable remediation advice to ensure your project meets security standards.

Yes, project upgrade detection requires rule databases for template patterns, security patterns, and topic upgrade mappings. These databases are necessary to perform multi-dimensional scoring, apply exclusion logic for advanced projects, and execute safety scanning in AI IDEs.

You should not use automated template detection for project proposals when working on advanced projects that require exclusion logic. If your architecture already demonstrates high engineering value, applying template pattern scoring may yield false positives without properly configured rule databases.