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Technical Debt Explained: 7 Warning Signs, What It Costs and How to Reduce It

Every slow release and "we can't change that" is a symptom. Here are seven warning signs of technical debt, what it costs, and a practical plan to pay it down without freezing your product.

Technical debt in a software project: maintenance and refactoring planning

If every new feature takes longer than the last, if only one person dares touch the billing code, and if “we cannot change that without breaking something” is a regular sentence in your meetings, you are paying interest on technical debt. It rarely shows up on a balance sheet, but it shows up everywhere else: in delayed launches, rising maintenance bills and developers who quietly leave. This guide explains what technical debt is in plain language, the warning signs to look for, what it costs, and how to reduce it without stopping your business.

What is technical debt?

Technical debt is the future cost of shortcuts taken in software today. The term comes from the idea that a quick, imperfect solution is like a loan: you ship faster now, and you pay interest later in the form of extra work every time someone has to change that part of the system.

Not all debt is bad. A startup that hard-codes a few rules to reach its first customers in six weeks is making a sensible trade, as long as it knows it is borrowing. The problem starts when the debt is invisible, unplanned and never repaid.

Where technical debt comes from

  • Deadline pressure: features shipped without tests, documentation or review.
  • Changing requirements: a system designed for ten customers now serves ten thousand.
  • Outdated dependencies: an old framework, PHP or Node version, or abandoned plugins nobody upgraded.
  • Staff turnover: the people who knew why things were built that way have left.
  • Unreviewed generated code: prototypes built quickly with AI tools that go live without engineering review. See our guide to taking vibe-coded apps to production.

7 warning signs your business is carrying too much technical debt

  1. Simple changes take weeks. A new field on a form should not be a month-long project.
  2. Every release breaks something else. Fixing one bug creates two, because parts of the system are tangled together.
  3. Nobody wants to touch certain areas. Teams route around “that module” instead of improving it.
  4. Onboarding a new developer takes months. There is no documentation, and the setup only works on one laptop.
  5. Deployments are manual and stressful. Releases happen late at night, by one person, with crossed fingers.
  6. Security updates are postponed. The framework is several major versions behind because upgrading “might break everything”.
  7. You are quoted for rebuilds instead of changes. When every vendor says “it is easier to start over”, the existing code has stopped being an asset.

Three or more of these usually means the debt is already limiting growth, not just developer comfort.

What technical debt really costs

The cost is hard to see because it is spread across many small delays. One of the few large studies that tried to measure it is Stripe’s 2018 “Developer Coefficient” report, conducted by Harris Poll with more than 1,000 developers and 1,000 executives across several countries. It found developers spending over 17 hours a week on maintenance issues such as debugging and refactoring, out of an average 41-hour week, with about 13.5 hours attributed to technical debt and roughly four hours to fixing bad code. The report estimated nearly $85 billion in lost opportunity cost worldwide each year. The data is several years old and survey-based, so treat the exact numbers as indicative, but the direction matches what we see in practice: a large share of engineering time goes to keeping the old system alive rather than building something new.

For a business owner, the practical costs are:

  • Slower delivery: competitors ship in days what takes you weeks.
  • Higher running costs: more hours spent on bugs and workarounds. Our article on software maintenance cost shows how this compounds.
  • Security exposure: unpatched components are an easy target.
  • Key-person risk: the business depends on someone who is hard to replace.
  • Lost opportunities: integrations, AI features or new markets that the current system cannot support.

Technical debt vs. a bad system: how to tell the difference

Situation Likely diagnosis Typical response
Core logic is sound but code is messy and untested Manageable debt Add tests, refactor in small steps
Old framework, still works, risky to upgrade Dependency debt Planned upgrade, staged and tested
Architecture cannot support new requirements Structural debt Wrap with APIs, then replace parts gradually
No one understands it and there is no source code access Ownership problem Secure the code first, see our software handover checklist
Every part is obsolete and the business has changed End of life Rebuild, see legacy system modernization

How to reduce technical debt without stopping the business

1. Make the debt visible

Run a short technical review of the codebase, hosting, dependencies and deployment process. The output should be a plain-language list of risks, ranked by business impact, not a 90-page technical audit.

2. Prioritise by interest, not by ugliness

Fix first the code you change most often and the areas that carry money or personal data. A messy report nobody edits can wait; a fragile checkout cannot.

3. Put a safety net in place

Before refactoring, add automated tests around critical flows (login, payments, orders), set up backups you have actually restored, and make deployments repeatable. This is what turns scary changes into routine ones.

4. Pay it down in small, regular steps

A common approach is to reserve a fixed share of every sprint or monthly retainer for debt reduction, such as upgrading one dependency, splitting one oversized module or documenting one process. Big-bang rewrites are risky; steady improvements compound.

5. Stop adding new debt blindly

Agree on a minimum standard: code review, tests for new critical logic, written decisions for shortcuts. When a deliberate shortcut is needed for speed, record it and schedule its repayment.

Example: an order system that grew past its design

A distributor in Tirana runs orders through a custom PHP application written eight years ago. It still works, but adding a new payment method takes six weeks, the server runs an unsupported PHP version, and only the original developer understands the pricing rules. A review finds three priorities: move the code into version control with a repeatable deployment, add tests around pricing and invoicing, and upgrade PHP in a staging copy. Within a quarter the team can ship small changes in days. A rebuild is postponed, possibly forever, because the existing logic turned out to be valuable. Not every system should be replaced; many only need to be understood, protected and improved step by step.

FAQ

Is technical debt always bad?

No. Deliberate, documented shortcuts that help you reach the market sooner can be a good decision. It becomes harmful when it is hidden, grows unchecked or nobody owns repaying it.

How do I measure technical debt?

There is no single metric. Useful indicators include how long typical changes take, how often releases cause incidents, how outdated the dependencies are, how much of the critical code has tests, and how many people can safely deploy.

Should we rewrite the software or refactor it?

Refactor or wrap when the business logic is still right and the system is stable enough to improve. Rewrite when the architecture blocks essential requirements or the stack is unsupported and unsafe. A short review of the code usually answers this faster than any debate.

How much does it cost to reduce technical debt?

It depends on the size and state of the system. Many teams start with a fixed-scope review, then fund improvements as a share of monthly maintenance hours instead of a single large project.

Can someone who did not build the software fix its technical debt?

Yes, as long as they have full access to the code and environments. A good partner begins with a review, tells you what is risky, and proposes small, testable steps.

Find out what your software debt is costing you

Shkulaku reviews, stabilises and modernises WordPress, Laravel, Symfony and React systems, and keeps them healthy through maintenance retainers. If your releases are slowing down or nobody feels safe changing your code, contact us for a short technical review: we will list the risks in plain language and propose a realistic, step-by-step plan.

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