A team ships a rushed feature to hit a deadline, then spends months working around it. That is the technical debt definition in practice: extra work later, caused by choosing a quick, less reliable option now.
The idea sits inside wider engineering practice, so the software development guide is a good companion read. Below, the common misunderstandings come first, then types, measurement, repayment and how to explain debt to people outside engineering.
What technical debt actually means
Technical debt is the price a company pays later for choosing a simpler, faster, yet less reliable option today, as Mad Devs puts it. DigitalOcean frames the same idea as the extra development work that arises when a team picks a quick and easy solution now. Both definitions share two parts: a shortcut taken today and a bill that arrives later.
The word “debt” matters because debt can be taken on knowingly and repaid on a plan. A team that records what it skipped and why can schedule the repayment. A team that never notices the shortcut simply finds the cost in slower delivery and surprise defects.
Misunderstandings that distort decisions
Most disagreements about debt come from a few mistaken assumptions. The table contrasts them with what the evidence supports.
| Common assumption | What is supported | Planning use |
|---|---|---|
| Technical debt is always a sign of sloppy engineering | Ward Cunningham’s view, as relayed by Code Climate, is that a little debt speeds development so long as it is paid back promptly with refactoring | Judge debt by whether it was chosen deliberately and has a repayment plan, not by its mere existence |
| Debt is an internal developer problem with no business cost | A 2019 study cited by DigitalOcean found that technical debt reduces adjusted profit by 16% | Present debt to leadership as a financial and delivery risk |
| Debt must be cleared in one big cleanup | Code Climate’s guidance and other sources stress monitoring high-risk changes over time so debt does not become insurmountable | Track debt continuously and repay it in slices |
Figures and views in the table come from Code Climate and DigitalOcean.
- “Only bad programmers create debt.” Deadline pressure is a named cause: tight project schedules or urgent demands can force developers to take shortcuts to meet delivery deadlines. Skilled people take those shortcuts too.
- “Debt is a code-only issue.” Mach One Digital lists people-based causes such as poor communication, lack of experience, shifting resources, lack of collaboration and distributed teams. Fixing code without fixing those habits lets debt return.
- “If it works, it is not debt.” Working software can still carry debt. The cost shows up later, in how long changes take and how often defects appear.
Types of technical debt
There is no single classification, and the main schemes answer different questions. Steve McConnell identified two types in 2007, which Productfolio reports as intentional debt and unintentional debt. That split asks whether the team knew it was borrowing.
Martin Fowler’s Technical Debt Quadrant extends the intent question into four categories: deliberate, inadvertent, prudent and reckless. The quadrant is useful in planning meetings because it separates a considered trade-off from a mistake nobody noticed. Researchers later listed 13 types by their nature in a 2014 paper, which suits teams that want to tag backlog items by area.
The table below takes a practical route and groups debt by cause and typical example.
| Debt type | Typical cause | Example | Planning use |
|---|---|---|---|
| Deadline shortcuts | Tight project schedules or urgent demands | Developers take shortcuts to meet delivery deadlines | Log the shortcut as a backlog item when it is taken, so repayment is visible |
| Insufficient testing | Not enough tests were conducted to consider all the possible scenarios | An untested scenario reaches users and becomes a product risk | Add tests around the riskiest paths before changing them |
| Legacy code | Code is old and outdated compared with newer approaches and technologies | An aging module that newer features must work around | Restructure it in small steps as features touch it |
Causes and examples come from DigitalOcean and Mad Devs.
Measuring technical debt
No single number captures debt, so teams combine code-level signals with delivery signals. DigitalOcean lists several that work together:
- Code churn. This metric refers to the frequency with which code is modified. Files that change constantly deserve attention, because repeated edits often point to code that is hard to get right.
- Defect density. This is the number of known defects divided by the size of the codebase in lines of code. Use it to compare areas of a system, not to judge individuals.
- Code metrics. Examples include code duplication and cyclomatic complexity, which static analysis tools can report automatically.
- Time-to-market. A growing time-to-market for new features might indicate increasing technical debt. This is the signal non-technical colleagues feel most directly.
Treat each metric as a prompt for investigation. A high churn figure on a file under active development may be healthy, and a rising delivery time can have non-technical causes. The strongest case for a debt item is when a code-level signal and a delivery-level signal point at the same area.
Code Climate adds a review-based signal: high-risk pull requests stacking up, which teams should monitor over time so debt does not become insurmountable. The trend matters more than any single reading.
Prioritizing and reducing debt without stopping feature work
Reduction does not need a freeze on new features. Productfolio notes that you don’t have to correct everything at once, and that agile teams can create some time in individual sprints for correcting deficiencies. A steady, small allocation fits roadmaps better than a rare large cleanup.
Choose what to repay first
Start with the areas where measurements overlap: code that changes often, collects defects and slows feature delivery. Debt in rarely touched, stable code can usually wait. Where the quadrant helps is in separating reckless or inadvertent items, which tend to surprise you, from prudent deliberate ones that you already planned to revisit.
Repay through refactoring
Refactoring involves restructuring legacy code without changing its external behavior, according to DigitalOcean. Because users should see no difference, refactoring can be bundled into feature tickets that touch the same code. That is the most practical way to keep delivery moving while the debt shrinks.
Stop new debt at the door
DigitalOcean recommends regular code reviews to identify and address potential technical debt early in development, and automated testing practices to detect bugs promptly. Reviews catch shortcuts while they are cheap to change. Tests make later refactoring safer, and the difference between test layers is explained in Unit Testing Vs Regression Testing: When, Why, And How To Use Each In 2026 – Interestingdevelopment. If you want those checks to run on every change, start with what is a ci/cd pipeline.
Explaining debt to non-technical stakeholders
Code Climate acknowledges that it can be difficult to explain the significance of tech debt to stakeholders and C-suite leadership. The fix is to talk about outcomes rather than code quality, and to bring evidence instead of opinion.
- Start with delivery impact. Show how long new features take now compared with before. A growing time-to-market is easier for a product owner to grasp than complexity scores.
- Show a trend, not a snapshot. A chart of high-risk pull requests stacking up, or of defect density in a problem area, tells a story about direction.
- Name the cost in business terms. Cite studies carefully: a 2019 study reported by DigitalOcean found a 16% reduction in adjusted profit, which shows why leaders should care, though it is not a prediction for any single company.
- Make a specific request. Code Climate suggests using concrete evidence to request additional resources. Ask for sprint time or a named refactoring task rather than a vague cleanup budget.
- Report back. Repeat the same measures after repayment so stakeholders see the effect of their decision.
This method turns the original shortcut-and-repay idea into a routine: measure, rank, repay in slices and show the result.
Frequently asked questions
| Question | Answer |
|---|---|
| Who coined the term technical debt? | Code Climate attributes the term to Ward Cunningham, who posited that a little debt speeds development when it is paid back promptly with refactoring. Details are on Code Climate’s explainer. |
| How much developer time does debt consume? | A study cited by Code Climate reports that developers spend 23% of their working time on tech debt. Treat it as a reference point from one study, not a target or a guarantee for your team. |
| Is legacy code the same as technical debt? | Not exactly. Legacy code is one kind of debt, described by Mad Devs as old and outdated compared with newer approaches and technologies. Debt can also come from skipped tests or rushed delivery in recent code, as covered in the Mad Devs introduction. |
