technical-debt-quantifier

Solid

Measure, categorize, and prioritize technical debt for migration planning and remediation

AI & Automation 814 stars 53 forks Updated today MIT

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Quality Score: 95/100

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Skill Content

# Technical Debt Quantifier Skill Measures, categorizes, and prioritizes technical debt to support informed decision-making for migration planning and debt remediation strategies. ## Purpose Enable technical debt management for: - Debt categorization and inventory - Remediation effort estimation - Interest calculation (ongoing cost) - Priority scoring - Trend tracking ## Capabilities ### 1. Debt Categorization - Code debt (smells, complexity) - Architecture debt (coupling, cohesion) - Test debt (coverage gaps) - Documentation debt - Infrastructure debt ### 2. Remediation Effort Estimation - Estimate fix time per item - Calculate total remediation cost - Identify quick wins - Plan sprint allocation ### 3. Interest Calculation - Calculate ongoing maintenance cost - Estimate productivity impact - Project future debt growth - Model compound interest ### 4. Priority Scoring - Score by business impact - Weight by risk level - Factor in remediation cost - Calculate ROI of fixes ### 5. Debt-to-Value Ratio - Compare debt to feature velocity - Benchmark against industry - Track debt percentage - Set organizational targets ### 6. Trend Tracking - Monitor debt over time - Track remediation progress - Identify debt sources - Report debt velocity ## Tool Integrations | Tool | Purpose | Integration Method | |------|---------|-------------------| | SonarQube | Debt calculation | API | | CodeScene | Hotspot analysis | API | | Codacy | Quality metrics | API | | Code Climate | Maint...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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