Technical debt: How to identify and manage it

Introduction

"We cannot add new features because the system is too unstable." "It takes three times as long to develop as it used to." "Our best developers spend all their time putting out fires."

If these statements sound familiar, you are probably struggling with technical debt. At Hyperbolic, we often work with companies that have come to a standstill due to accumulated technical debt. But what is technical debt really, how does it arise, and most importantly, how do you manage it?

What is technical debt?

Ward Cunningham introduced the concept of technical debt in 1992. Just like financial debt, technical debt can be both strategic and problematic.

Technical debt arises when we make decisions in development that give us short-term benefits but create long-term costs. This can be:

• Choosing a quick but suboptimal solution to meet a deadline

• Skipping tests to ship faster

• Postponing the refactoring of complex code

• Using outdated libraries or frameworks

Just like financial debt, technical debt must be paid back with interest. The longer we wait, the greater the "interest" becomes in the form of slower development and more bugs.

Types of technical debt

It is important to understand that not all technical debt is the same. Martin Fowler categorizes it into four types:

Conscious and Considered Debt (Prudent & Deliberate) "We know this is not the perfect solution, but we will ship now and refactor later." This is strategic debt, where we consciously choose speed over perfection.

Conscious and Unconsidered Debt (Reckless & Deliberate) "We don't have time to design it properly." This is dangerous debt, where we ignore the consequences.

Unconscious and Considered Debt (Prudent & Inadvertent) "Now that we have built it, we can see how we should have done it." This is learning debt, which arises when we gain new insights.

Unconscious and Unconsidered Debt (Reckless & Inadvertent) "What is layering?" This is debt that arises from ignorance or lack of experience.

At Hyperbolic, we often see the first two types. Strategic debt is okay if managed proactively. Unconsidered debt is problematic.

How to identify technical debt?

Technical debt is not always visible on the surface. Here are some signs:

Decreasing development speed If features that previously took a week now take three weeks, that is a clear sign. When simple changes become complex, there is likely significant debt.

Frequent bugs and production issues If you are constantly putting out fires and bugs that were fixed reappear, the codebase is likely filled with debt.

Developer flight When experienced developers leave the team because they are frustrated with code quality, that is a serious symptom.

Fear of changing code If developers are afraid to touch certain parts of the system for fear of breaking things, there is a problem.

Lack of tests If your test coverage is below 30-40%, or if tests are never run, you are accumulating debt.

Outdated dependencies Libraries that are several years old and no longer supported are both a security risk and debt.

How to measure technical debt

At Hyperbolic, we use several metrics to quantify technical debt:

Code complexity metrics Tools like SonarQube can measure cyclomatic complexity and identify hotspots in the codebase.

Code churn Files that change very often are often a sign of unstable or poor code.

Bug density Number of bugs per 1000 lines of code can indicate problematic areas.

Test coverage Low test coverage is a direct indicator of debt.

Time to resolve bugs If it takes longer and longer to fix bugs, the debt is growing.

Deployment frequency If you deploy less frequently, it is often because the system has become too fragile.

Strategies for managing technical debt

1. Make the debt visible

The first step is to make technical debt visible to the entire organization, not just the developers. At Hyperbolic, we facilitate workshops where we map debt and its consequences.

We often use the "debt matrix":

• X-axis: How painful is the debt? (Impact)

• Y-axis: How hard is it to fix? (Effort)

This results in four quadrants:

• Quick wins: High impact, low effort -> Start here

• Major projects: High impact, high effort -> Plan these

• Fill-ins: Low impact, low effort -> Do when there is time

• Time sinks: Low impact, high effort -> Deprioritize

2. Incorporate debt reduction into your normal work

It is a myth that you need "technical sprints" to tackle debt. At Hyperbolic, we recommend the 20/80 rule:

• 80% of the sprint is new features

• 20% is debt reduction and improvements

This maintains momentum in the business while gradually reducing the debt.

3. Boy Scout Rule

"Leave the code in better shape than you found it." Every time you touch code, improve it a little. This accumulates over time to significant improvements.

4. Automate quality assurance

Invest in automated tests and CI/CD. This prevents new debt from being introduced while reducing existing debt.

At Hyperbolic, we always set up these systems from the start:

• Automated unit and integration tests

• Linting and code formatting

• Code review processes

• Continuous integration

5. Refactor strategically

Do not refactor everything. Focus on the parts of the system that change often. Code that is never touched does not need to be perfect.

6. Prioritize security debt

Outdated dependencies with known vulnerabilities should be prioritized highly. This is not just technical debt; it is a security risk.

Preventing technical debt

Definition of Done Establish clear criteria for when a feature is finished. Include things like:

• Tests are written

• Documentation is updated

• Code review is completed

• Performance is acceptable

Technical standards Establish coding standards and architectural principles. It is easier to maintain consistent code.

Regular health checks At Hyperbolic, we recommend quarterly technical health checks where the team evaluates the state of the system.

Time for learning Invest in your team's skills. Many debt problems arise from lack of knowledge.

Communication with stakeholders

One of the biggest challenges with technical debt is explaining it to non-technical stakeholders. Here is our approach at Hyperbolic:

Speak business language Do not explain that "the code has high cyclomatic complexity." Instead, say: "New features take 3x as long as before, which delays time-to-market."

Quantify the costs "We are using 40% of our developer resources fixing bugs instead of building new features. It costs us X dollars a month."

Show the business value of addressing the debt "By reducing this debt, we can deliver features 50% faster and reduce the number of production bugs by 30%."

Case: From technical collapse to renewed innovation

We worked with an e-commerce company that had almost come to a standstill. Their system was so filled with debt that even simple changes took weeks.

Our approach:

1. Two-week audit identified the biggest areas of debt

2. Prioritization based on business impact

3. Dedicated "debt team" for three months to the critical areas

4. In parallel: strict quality standards for all new code

Results after six months:

• Development speed increased by 60%

• Production bugs decreased by 45%

• Deployment frequency increased from monthly to weekly

• Team morale improved significantly

Conclusion

Technical debt is inevitable in software development. It is not about eliminating it completely, but about managing it proactively and strategically.

At Hyperbolic, we help companies to:

• Identify and quantify their technical debt

• Prioritize which debt to tackle first

• Establish processes to prevent future debt

• Build a culture where code quality is valued

Technical debt does not have to be a burden. With the right approach, it can be managed, and your system can become healthy and maintainable again.

Are you drowning in technical debt? Contact us at Hyperbolic for a technical audit and a plan for the way forward.