How to manage and reduce technical debt

7 steps 35 min Intermediate

Balance speed of delivery with code quality, systematically paying down accumulated technical debt before it slows innovation.

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Step-by-Step Instructions

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Step 1: Define what technical debt means for your team

Technical debt includes: legacy code without tests, outdated dependencies, hacky workarounds, missing documentation, architectural shortcuts. Make debt visible and shared understanding across engineering and product. Not all debt is bad—some is strategic trade-off for speed.

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Working Effectively with Legacy Code by Michael Feathers
Working Effectively with Legacy Code by Michael Feathers

Strategies for managing and improving existing codebases

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Step 2: Create a technical debt backlog and prioritize by impact

Log debt items like product features: what, why it matters, cost of not fixing. Prioritize by: business impact (does it block new features?), risk (could it cause outages?), team productivity (does it slow development?). Make debt visible to product and leadership.

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Jira
Jira

Track technical debt items alongside product work in backlogs

Linear
Linear

Modern issue tracking with labels for categorizing technical debt

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Step 3: Allocate dedicated time to debt reduction

Reserve 20% of engineering capacity for technical health: refactoring, test coverage, upgrades, documentation. Don't let debt work be perpetually de-prioritized for features. Consistent investment prevents debt from becoming unmanageable.

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Shortcut (formerly Clubhouse)
Shortcut (formerly Clubhouse)

Project management with cycle time tracking for tech debt work

4

Step 4: Implement boy scout rule: leave code better than you found it

When touching existing code, make small improvements: add tests, improve naming, extract functions, add comments. Incremental cleanup over time reduces debt without big refactoring projects. Small consistent effort compounds.

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Refactoring by Martin Fowler
Refactoring by Martin Fowler

Catalog of code improvements and incremental refactoring techniques

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Step 5: Set code quality standards and enforce in code review

Establish standards: test coverage requirements, linting rules, documentation expectations. Use automated tools to catch issues early. Code review should block PRs that add unnecessary debt. Prevention is easier than remediation.

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SonarQube
SonarQube

Code quality and security analysis platform

CodeClimate
CodeClimate

Automated code review and quality metrics

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Step 6: Track technical debt metrics over time

Measure: code coverage percentage, number of security vulnerabilities, outdated dependencies, cyclomatic complexity. Track trends: is debt growing or shrinking? Metrics create accountability and show progress on debt reduction efforts.

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Codecov
Codecov

Code coverage tracking and reporting

Snyk
Snyk

Security vulnerability scanning for dependencies

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Step 7: Communicate debt impact to non-technical stakeholders

Frame debt in business terms: "This technical debt slows feature development by 30%" or "Fixing this will prevent future outages." Help product and leadership understand why debt work matters. When they see business impact, they support investment.

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Stepsize
Stepsize

Technical debt management with business impact visualization

Notion
Notion

Document technical debt and communicate impact to stakeholders