Technical Debt Tracker

The Challenge

Technical debt accumulates silently until it causes problems. Tracking debt across the codebase, understanding its impact, and prioritizing fixes requires systematic analysis.

The AI Desk Solution

AI Desk identifies, categorizes, and prioritizes technical debt with actionable remediation plans.

The Workflow

Step 1: Codebase Scan

Trigger: Weekly analysis
Sources: GitHub, Jira, SonarQube, incident history

Step 2: Debt Analysis

• Code quality metrics
• Bug correlation
• Developer velocity impact

Step 3: Debt Report

📊 Technical Debt Report: Mar 28, 2026

DEBT OVERVIEW
├── Total items: 156
├── High priority: 23
├── Medium: 67
├── Low: 66
└── Trend: +8 this month

TOP PRIORITY ITEMS

Authentication Module Refactor
├── Age: 18 months
├── Impact: 12 bugs traced here
├── Developer friction: High
├── Effort: 2 sprints
├── Files: 34
└── Recommendation: Prioritize Q2

Legacy API v1 Deprecation
├── Age: 24 months
├── Impact: Maintenance burden
├── Customers affected: 23
├── Effort: 3 sprints
├── Migration guide: Needed
└── Recommendation: Sunset by June

Test Coverage: Payments
├── Current: 42%
├── Target: 80%
├── Recent bugs: 5
├── Effort: 1 sprint
└── Recommendation: Next sprint

DEBT BY CATEGORY
├── Architecture: 28%
├── Testing: 25%
├── Documentation: 20%
├── Dependencies: 15%
└── Performance: 12%

VELOCITY IMPACT
├── Estimated slowdown: 15%
├── Bug rate correlation: High
└── If addressed: +20% velocity

QUARTERLY PLAN
├── Sprint 1: Auth refactor start
├── Sprint 2: Auth complete + tests
├── Sprint 3: API v1 migration prep
├── Sprint 4: Payment tests

Value Proposition

• Time Saved: 3 hours of analysis
• Visibility: Debt quantified
• Better Planning: Impact-based priority