Dockia Blog
Technical debt in companies: how to identify, quantify, and resolve it without stopping the business
2026-02-19 • 9 min
Executive framework for understanding and managing technical debt in companies: what it really is, how to calculate its hidden cost, when to refactor vs. rewrite, and how to present the resolution plan to management with financial criteria.
Technical debt in companies is not an engineering problem — it is a financial problem. Every week the technical team spends on workarounds and patches is time not invested in revenue-generating features.
- •Technical debt has three main forms: code debt (duplication, lack of tests, undocumented logic), architecture debt (monolithic systems that don't scale, fragile integrations), and dependency debt (outdated libraries, unsupported versions).
- •To present technical debt to management, translate it into euros: calculate the weekly time the team spends on reactive maintenance × cost/hour, multiply × 52 weeks. This is the annual cost of not resolving the debt.
- •The 'refactor as we go' strategy rarely works: without a dedicated sprint or phase for technical debt with clear acceptance criteria, system entropy always grows faster than the ability to clean it up.
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FAQ
How do you calculate the cost of technical debt in a company?
Multiply the weekly time the team spends on bugs, patches, and workarounds by the technical team cost/hour and by 52. Add the onboarding time lost due to lack of documentation and the cost of production incidents. Sum everything: that is the annual cost of technical debt.
When is it better to rewrite the system than to refactor it?
Rewriting makes sense when the cost of understanding and modifying existing code exceeds building from scratch, when the architecture cannot scale to projected business requirements, or when the team that built it is no longer available to explain design decisions.
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