Vibe Coding Technical Debt Metric

A Vibe Coding Technical Debt Metric is a technical debt metric that quantifies technical debt accumulated through vibe coding practices in software systems.

• AKA: AI-Generated Code Debt Measure, Prompt-Based Code Debt Index, Vibe Code Quality Deficit Score, LLM Code Debt Indicator.
• Context:
  • It can typically measure Vibe Coding Documentation Debt through vibe coding comment coverage analysis with vibe coding documentation quality scores.
  • It can typically assess Vibe Coding Architectural Debt through vibe coding design pattern violation with vibe coding structure complexity metrics.
  • It can typically calculate Vibe Coding Maintainability Debt through vibe coding readability analysis with vibe coding modification cost estimates.
  • It can typically evaluate Vibe Coding Test Coverage Debt through vibe coding test completeness analysis with vibe coding test quality metrics.
  • It can often track Vibe Coding Security Debt through vibe coding vulnerability count with vibe coding security risk scores.
  • It can often monitor Vibe Coding Performance Debt through vibe coding inefficiency detection with vibe coding optimization potential metrics.
  • It can often quantify Vibe Coding Dependency Debt through vibe coding package obsolescence with vibe coding update complexity scores.
  • It can range from being a Simple Vibe Coding Technical Debt Metric to being a Composite Vibe Coding Technical Debt Metric, depending on its vibe coding metric complexity.
  • It can range from being a Static Vibe Coding Technical Debt Metric to being a Dynamic Vibe Coding Technical Debt Metric, depending on its vibe coding measurement timing.
  • It can range from being a File-Level Vibe Coding Technical Debt Metric to being a System-Level Vibe Coding Technical Debt Metric, depending on its vibe coding measurement scope.
  • It can range from being a Absolute Vibe Coding Technical Debt Metric to being a Relative Vibe Coding Technical Debt Metric, depending on its vibe coding metric normalization.
  • It can integrate with Vibe coding analysis tools for vibe coding automated measurement.
  • It can connect to Technical debt management systems for vibe coding debt tracking.
  • ...
• Examples:
  • Code-level vibe coding technical debt metrics, such as:
    • Vibe Coding Cyclomatic Complexity Score for vibe coding logic complexity.
    • Vibe Coding Duplication Ratio for vibe coding copy-paste debt.
    • Vibe Coding Coupling Index for vibe coding dependency complexity.
  • Project-level vibe coding technical debt metrics, such as:
    • Vibe Coding Debt-to-Development Ratio for vibe coding project health.
    • Vibe Coding Remediation Cost Estimate for vibe coding refactoring effort.
  • Business-level vibe coding technical debt metrics, such as:
    • Vibe Coding Delivery Impact Score for vibe coding velocity reduction.
    • Vibe Coding Risk-Adjusted Debt Value for vibe coding business impact.
  • ...
• Counter-Examples:
  • Code Coverage Metric, which measures test completeness rather than vibe coding technical debt.
  • Performance Benchmark, which measures system speed rather than vibe coding quality deficit.
  • User Satisfaction Score, which measures user experience rather than vibe coding code quality.
• See: AI-Generated Code Security System, Vibe Coding Vulnerability Detection Task, AI Code Abstraction Mismatch Gap, SaaS Vibe Coding Scalability Challenge, Vibe Coding Security Compliance Framework, AI-Assisted SaaS Development Process, Technical Debt Quantification System.

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