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“We’ll fix it later” is a loan. It buys delivery speed now by deferring design, testing, migration, documentation, or operational work. The interest is the recurring cost that shortcut adds to future changes: extra engineering hours, workarounds, defects, incidents, operating expense, and delay.
There is no universal technical-debt interest rate. A sensible rate is local and observable. Record what was deferred, estimate the work needed to repay it, measure how often it slows or destabilizes delivery, and review the estimate whenever the affected area changes.
What the “loan” metaphor means
Technical debt is not simply ugly code or an old system. It is a shortcut or design compromise whose consequences create an obligation for future work. The shortcut may be deliberate: a team might choose a temporary integration, postpone a schema migration, accept duplicated logic, or launch with manual operations to meet a date. It becomes debt when that choice makes later work more expensive, risky, or slow.
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- Principal: the effort and expense required to remove or replace the shortcut today.
- Interest: the repeated cost paid while the shortcut remains, such as extra steps on every change or incidents caused by the compromise.
- Repayment decision: a comparison between the cost of fixing the issue, the cost of leaving it, and the value of the product work that repayment would displace.
A compromise can be rational. If a market window is short and the expected future burden is small, taking a controlled shortcut may create more value than delaying launch. The failure is not borrowing; it is borrowing without recording the obligation, assigning an owner, or deciding when to revisit it.
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Why there is no single percentage rate
Two debt items of the same apparent size can have very different carrying costs. A small workaround in a service changed every week can consume more engineering time than a large legacy module that nobody touches. Usage, release frequency, team familiarity, failure impact, and regulatory or contractual requirements all affect the cost.
For that reason, a percentage such as “technical debt grows by 5% per month” cannot be applied safely to every organization. Use percentages only when they describe your own measured history or a clearly scoped external study. Otherwise, describe the debt in hours, incidents, delays, and money that your team can observe.
When leaders ask, “What is our interest rate?”, the useful answer is usually a dashboard of local signals:
- Additional engineer-hours required to make a normal change.
- Repeated workarounds, manual checks, or duplicated implementations.
- Defects, rollback events, and production incidents linked to the compromise.
- Infrastructure or support expense caused by the design.
- Delivery dates moved because the affected area is difficult to change.
Track measured history separately from forecasts. A forecast is a planning assumption, not an observed rate.
Start by naming what was borrowed
“Clean it up later” is too vague to manage. Convert it into a sentence that identifies the decision and the obligation. A useful format is: We deferred X to gain Y; now Z work is harder or riskier.
Examples include:
- “We copied the pricing rules into three services to ship the partner launch; each pricing change now requires three edits and a coordinated release.”
- “We kept a manual reconciliation step to meet the reporting deadline; finance operations spend time checking every export.”
- “We postponed the database migration and retained the old schema; new features need compatibility code and extra test cases.”
- “We accepted a single-region deployment for the pilot; an outage now affects every customer in that region.”
Describe the benefit that the shortcut bought at the time. This prevents hindsight from turning every past decision into negligence and helps a manager compare repayment with the original business goal.
Use a debt register that makes ownership explicit
A register does not need a special tool. A shared planning document, issue tracker, or service catalog is sufficient if the fields are kept current. The following fields turn an informal promise into an accountable decision.
| Field | What to record |
|---|---|
| Debt item | Plain-language name of the shortcut and the affected product, service, process, or infrastructure. |
| Original benefit | The launch date, scope, cost, or other advantage the shortcut enabled. |
| Current principal | Estimated engineer-hours and other direct effort required to remove or replace it now; include the assumptions. |
| Observed carrying cost | Extra change effort, workarounds, defects, incidents, operating expense, or delay recorded over a stated period. |
| Owner | The person or team responsible for keeping the estimate current and proposing repayment work. |
| Review trigger | A date or event that forces reconsideration, such as the next major release, a usage threshold, an incident, or the next touch to the affected component. |
| Decision status | Repay now, schedule later, accept while monitored, or retire the affected feature. |
Record the date and source of each estimate. If an engineer says a migration will take two weeks, note whether that means calendar time for one person, total person-hours, or a range that includes testing and rollout. Ambiguity in the principal estimate will otherwise look like a change in the debt itself.
How to estimate your local “interest rate”
The goal is not to manufacture a precise percentage. It is to produce a decision-quality estimate that improves as evidence accumulates.
- Describe the shortcut and its original payoff. Write what was deferred, why it was chosen, and which date or outcome it protected.
- Estimate repayment principal. Ask the people who would do the work to estimate discovery, implementation, migration, testing, rollout, documentation, and cleanup. Multiply engineer-hours by your loaded labor cost if a money estimate is useful. Include specialist or infrastructure expense when those are material.
- Measure carrying cost over a defined period. For the last quarter or another agreed window, count extra hours on changes, manual workarounds, defects, incidents, operational expense, and delivery delays. Attribute only costs with a credible connection to the item.
- Separate history from scenarios. If the team has only three incidents of data, label any projection as a forecast. You can model optimistic, expected, and adverse cases rather than presenting one number as fact.
- Compare leaving and repaying. Estimate the cost of continued carrying over the planning horizon, then compare it with repayment effort and the product work that would be postponed. Include the cost of delay for that displaced product work.
- Set a review condition. Recalculate when the area is changed, usage grows, an incident exposes a new consequence, or the original assumption no longer holds.
A simple internal ratio can help communication: carrying cost observed during a period divided by estimated principal. It is a management indicator, not an accounting-standard interest rate. Keep the underlying hours, incidents, and assumptions visible so the ratio does not create false precision.
Illustrative calculation
Suppose a team estimates that replacing a temporary order adapter requires 160 engineer-hours. At a loaded cost of $120 per hour, the labor principal is $19,200. During the last six months, compatibility work added 48 hours, two releases were delayed by three days each, and one incident required 20 hours of response. The 68 hours are evidence of observed carrying cost; the business value of the delayed releases and the incident impact must be estimated separately.
If the team expects the same pattern for another six months, it can compare that forecast with the 160-hour repayment and with the product work that repayment would displace. If order volume is about to double, the forecast should be revised upward rather than treated as a fixed rate. The numbers in this example are illustrative; your register should use your own labor rates and records.
Prioritize by recurring cost and cost of delay
Ranking debt by the largest code diff or the oldest ticket is unreliable. A practical priority score considers four questions:
- How often does the affected area change?
- How much extra effort or risk does the shortcut add each time?
- How severe is the consequence when it fails?
- What product or compliance value would repayment unlock?
A small issue touched by every sprint may deserve immediate work. A large, stable subsystem may be safe to monitor. Conversely, a rarely changed component can become urgent if it creates a serious safety, security, contractual, or availability exposure.
When two items compete, compare their expected carrying cost over the same horizon with their repayment effort and cost of delay. State the assumptions in the planning record. This makes a decision reversible: if frequency or impact changes, the ranking can change without an argument about labels.
Signals that interest is increasing
Watch for operational and delivery patterns rather than waiting for a dramatic outage:
- Estimates for ordinary changes in one area keep expanding.
- Engineers copy an existing workaround instead of removing the cause.
- Pull requests require repeated exceptions, manual verification, or specialist review.
- Incidents recur with the same underlying condition.
- Teams avoid touching a component, so related features are deferred.
- On-call effort or cloud usage rises without a corresponding increase in customer value.
- New employees need lengthy, undocumented explanations to make safe changes.
One signal is not proof that repayment is worthwhile. Combine frequency with impact and compare the resulting cost with other work competing for the same capacity.
Make repayment part of normal planning
Debt work disappears when it depends on spare capacity. Give each item an owner, a next review date, and a definition of done. Repayment may be a standalone project, a slice of feature work, or a migration performed whenever the component is next changed.
Useful planning rules include:
- Review the register during roadmap or quarterly planning, not only after incidents.
- Require a debt item whenever a temporary design is approved, including its trigger for reconsideration.
- Reserve capacity only when the measured carrying cost or risk justifies displacing product work; do not adopt a universal percentage as a substitute for evidence.
- Close an item only after the old path is removed, monitoring is updated, and the owner records the result.
- After repayment, compare actual effort and avoided costs with the estimate to improve future forecasts.
A fixed refactoring cadence can reduce surprises, but cadence alone does not prove value. The work should still be selected using the item’s impact and repayment case.
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What different assessment approaches can and cannot show
Tools and reviews answer different questions. Choose them according to the debt category and the decision you need to make.
| Approach | Strongest coverage | Evidence it can produce | Important limitation |
|---|---|---|---|
| Static code analysis | Code duplication, complexity, and other patterns detectable in source. | Findings that identify locations and recurring code-level issues. | It does not by itself quantify architecture, organization, infrastructure, or algorithmic debt, and a finding is not a repayment estimate. |
| Architecture or service review | Dependencies, ownership boundaries, service health, and organizational visibility. | Maps of relationships, ownership gaps, and candidate structural work. | It may provide weaker coverage of environmental or algorithmic concerns unless those are reviewed explicitly. |
| Debt register with delivery data | Any category that the team can describe and observe. | Principal estimates tied to change effort, incidents, delay, and an owner. | Quality depends on consistent measurement and review; the register does not automatically discover hidden debt. |
| Incident and delivery analysis | Operational and schedule consequences in a defined period. | Counts of incidents, response hours, rework, and delayed releases. | It can miss latent debt that has not yet been exercised and may not identify the original design cause. |
Automation is useful for finding patterns and maintaining visibility. It cannot decide whether repayment creates more value than the work it displaces. That decision still needs product, engineering, and operations context.
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How to interpret published percentages
A May 6, 2025 article from Valletta Software Development reported several figures from 27 SaaS case studies. It described a 52% reduction in cumulative remediation costs for proactive debt management, 2.3 times fewer production incidents for teams refactoring on a fixed cadence than for reactive teams, and 4–7% month-over-month growth in cumulative remediation cost. It also associated focused infrastructure-debt sweeps during the 12–18 months after first production launch with recovery of up to 40% of a cloud bill, and reported that more than 64% of debt was introduced before first production deployment.
Those are vendor-published findings from the article’s stated cases, not an industry-wide interest schedule or a guarantee for your company. The populations, definitions, and measurement methods may differ from yours. Use them as questions to investigate—such as whether pre-launch decisions are being recorded or whether remediation cost is rising—not as benchmarks to paste into a business case.
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Accepting debt can be prudent when the team can explain the trade:
- The shortcut protects a time-sensitive outcome with clear business value.
- The affected area is isolated, observable, and unlikely to change frequently before review.
- The repayment principal is bounded enough to estimate.
- An owner and review trigger are recorded before launch.
- The team has a rollback, containment, or migration path if assumptions fail.
Do not call an item “temporary” when nobody can name the condition that ends it. A date alone is weak if the team has no capacity or plan to act on that date. A usage threshold, next-touch rule, incident trigger, or explicit roadmap slot is more actionable.
Common mistakes and how to correct them
Calling every imperfection debt
Some code is simply a style disagreement or a low-value enhancement. Correct this by recording the future consequence: extra work, risk, delay, or expense. If none can be identified, keep it out of the debt register.
Using one percentage for every team
A borrowed rate hides differences in release frequency and system impact. Replace it with measured hours, incidents, and delay for each item, then use forecasts with clearly stated assumptions.
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Fixing the most visible code first
Visibility is not priority. Compare recurring cost and cost of delay; a quiet but frequently changed boundary may matter more than a notorious, untouched module.
Recording findings without ownership
A list of warnings grows stale. Assign an owner, review trigger, estimate, and decision status. If ownership changes, update the register rather than creating a duplicate item.
Counting planned refactoring as guaranteed savings
Repayment may prevent future cost, but the savings are a forecast until the team observes them. After completion, compare actual effort, incidents, and delivery time with the baseline.
Waiting for an outage
Incidents provide strong evidence but are an expensive measurement method. Review change effort and workarounds before failure makes the item urgent.
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A meeting script for founders and engineering managers
When someone says “we’ll fix it later,” ask these questions in order:
- What exactly are we deferring?
- What speed, scope, or date does the shortcut buy?
- Who will pay the recurring cost, and how will we observe it?
- What is the current repayment estimate, including testing and rollout?
- What event or date makes us revisit the decision?
- What evidence would change the priority?
End the meeting with a recorded owner and a next action. The action might be repayment, measurement, containment, or an explicit decision to accept the debt while its signals remain below an agreed threshold. This keeps “later” from becoming an unowned permanent state.
The practical answer to “how do we prioritize technical debt?”
Prioritize the debt that repeatedly taxes important work or creates material risk, not the debt with the most alarming name. Estimate principal, measure carrying cost, account for cost of delay, and revisit the estimate when the system or its usage changes. That process produces a local interest rate grounded in your decisions instead of a fictional universal percentage.
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