What problem does it solve?
Systematically identify and reduce technical debt that slows development, introduces bugs, and increases maintenance costs across code, architecture, tests, dependencies, documentation, and infrastructure.
Core Features & Use Cases
- Comprehensive Categorization: Classifies debt into code, architecture, test, dependency, documentation, and infrastructure debt with concrete examples and associated risks.
- Prioritization Framework: Scores items by Impact, Risk, and Effort and computes priority using the (Impact + Risk) x (6 - Effort) formula to rank remediation work.
- Actionable Remediation Plans: Produces prioritized lists with estimated effort, business justification, and phased remediation plans suitable for inclusion in sprint planning.
- Use Cases: Audit a legacy monolith before a refactor, triage flaky tests and low coverage areas, or plan dependency upgrades and infrastructure hardening.
Quick Start
Audit the repository for technical debt and return a prioritized remediation list with impact, risk, and effort estimates plus a phased plan ready for sprint planning.