Technical debt is not just slow code or outdated libraries. It is the accumulated cost of design decisions that prioritized speed over sustainability. Like financial debt, it compounds: each shortcut makes the next change harder and riskier.
The symptoms are predictable: deployments take longer, bugs recur in the same areas, onboarding new engineers takes months instead of weeks, and teams spend more time on maintenance than new features. When over 40% of engineering capacity goes to unplanned work, debt has reached critical levels.
Measurement starts with impact. Track deployment frequency, change failure rate, mean time to recovery, and the percentage of sprint capacity consumed by unplanned fixes. These metrics make debt visible to business leaders in terms they understand.
Prioritization should be risk-weighted. Not all debt needs immediate attention. Focus on debt that blocks revenue-generating features, creates security vulnerabilities, or affects system reliability. Create a debt register and review it quarterly alongside product priorities.
Paying down debt does not mean stopping delivery. Allocate 15-20% of each sprint to debt reduction, integrated into feature work where possible. Refactor the module you are already modifying. Upgrade the dependency you are already touching. This steady cadence prevents debt from becoming a crisis.