Tech Debt Management

Systematically identify, categorize, and prioritize technical debt.

Categories

Type	Examples	Risk
Code debt	Duplicated logic, poor abstractions, magic numbers	Bugs, slow development
Architecture debt	Monolith that should be split, wrong data store	Scaling limits
Test debt	Low coverage, flaky tests, missing integration tests	Regressions ship
Dependency debt	Outdated libraries, unmaintained dependencies	Security vulns
Documentation debt	Missing runbooks, outdated READMEs, tribal knowledge	Onboarding pain
Infrastructure debt	Manual deploys, no monitoring, no IaC	Incidents, slow recovery

Installs

3.7K

Repository

GitHub Stars

20.6K

First Seen

Feb 24, 2026

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