Technical guide
Technical debt in companies: how to resolve legacy without stopping the business
Published: February 19, 2026
Technical debt is inevitable. What is not inevitable is letting it grow until it blocks new features, multiplies bugs, and drives away talented developers. This guide explains how to quantify technical debt, decide what to fix first, and execute remediation without paralysing operations.
How to identify and quantify technical debt
- Critical technical debt signals: new developer onboarding longer than 3 weeks, more than 30% of sprints spent on bugs instead of features, manual testing because code isn't testable, and patches on patches nobody understands.
- Quantification in euros: calculate the opportunity cost. If a 2-week development takes 6 weeks due to technical debt, the cost is 4 weeks × team cost. With a 3-person team at €6,000/month each, that's ~€18,000/month in inefficiency.
- Analysis tools: SonarQube for quantified code debt, Datadog or similar for tracking production incidents from legacy code, and structured team interviews to find system 'untouchables'.
- Prioritise by impact: not all technical debt is equal. Debt blocking new features is P1; debt that slows but doesn't block is P2; cosmetic or architectural debt with no performance impact is P3.
Refactoring vs. rewriting: how to decide
- Refactoring: when existing code is functional but messy, has tests (or tests can be written), and the overall architecture is sound. Safer, slower, no risk of optimistic second-estimate syndrome.
- Rewriting: when the architecture is fundamentally wrong, code isn't testable by design, or the tech stack has become obsolete. Higher risk — the second version always takes twice as long as estimated.
- Joel Spolsky's rule: never throw it all out and start from scratch unless absolutely unavoidable. The existing software, however ugly, contains decades of implicit business knowledge that isn't documented.
- The most effective hybrid approach: strangler fig pattern — surround the legacy system with new modules that progressively replace functionality while the old system keeps running in production.
Strategies for resolving debt without stopping the business
- Reserve 20-30% of team capacity for technical debt in each sprint. Not a dedicated sprint every 3 months — a constant percentage. 'Refactoring-only sprints' rarely happen.
- Define the Boy Scout Rule: the team commits to always leaving the code slightly better than they found it. Small continuous improvements add up more than big remediation projects.
- Set a Definition of Done with technical criteria: no ticket closes without test coverage, basic documentation, and code review. Prevents debt from being generated in the current sprint.
- Communicate to management in business terms: not 'we'll refactor the orders module' but 'we'll reduce the time to add new integrations from 6 weeks to 2 weeks, enabling us to launch the [Platform X] integration before Q2'.
How to prevent future technical debt accumulation
- Modular architecture from the start: well-decoupled systems age much better. Each module should be able to evolve independently without affecting the rest.
- Tests from the start: code without tests is technical debt from day one. The time 'saved' by not writing tests is paid with interest in every subsequent bugfix.
- Mandatory code review: technical problems caught in review cost 10% of what they will cost once they are in production.
- Quarterly technical review: schedule a session every 3 months to assess system technical health, update dependencies, and plan next quarter's debt before it becomes urgent.
Do you have accumulated technical debt that is slowing your product's growth?