What Is Technical Debt? How Is It Managed?

Technical debt refers to the additional work that may arise in the future as a result of short-term decisions made during software development. So, what is technical debt, why does it occur, and how can it be managed? In this guide, you will explore the types of technical debt, their impact on software projects, and practical methods for reducing technical debt.

What Is Technical Debt?

Technical debt occurs when solutions chosen to speed up software development create additional maintenance and development work in the future. The concept is often explained through an analogy with financial debt. A decision that saves time in the short term may require more effort in the long run.

For example, a developer might write the same code repeatedly in different parts of an application. This approach may shorten development time initially. However, when the code needs to be updated later, changes must be made in multiple places.

Technical debt is not always the result of a bad decision. In some cases, teams make deliberate trade-offs because of deadlines, resource constraints, or changing business requirements. The important thing is to understand and manage the future costs these decisions may create.

Why Does Technical Debt Occur?

Technical debt can arise for several reasons. Sometimes, teams postpone technical improvements to deliver a product faster. In other cases, as a project grows, an architecture that was sufficient at the beginning may struggle to meet new requirements.

The main causes of technical debt in software projects include:

• Time pressure: Postponing technical improvements to meet delivery deadlines.
• Insufficient testing: Code changes may introduce unexpected issues.
• Code duplication: Reimplementing the same functionality in different parts of the application.
• Lack of documentation: Failing to adequately explain how the code works.
• Outdated technologies: Using libraries, tools, or architectures that struggle to meet current requirements.
• Unplanned development: Failing to adequately consider software architecture and long-term needs.

These factors do not always constitute technical debt on their own. The main concern is whether the existing solution unnecessarily complicates future development, maintenance, or reliability efforts.

What Are the Types of Technical Debt?

Technical debt can take different forms. Understanding these types helps teams determine which issues should be addressed first.

What Is Deliberate Technical Debt?

Deliberate technical debt occurs when teams consciously choose a short-term solution to achieve a specific goal. For example, some architectural improvements may be postponed until a later development phase so that the first version of a product can be released to users sooner.

To keep this approach manageable, postponed tasks should be documented, their reasons should be explained, and a time for reassessment should be established. Otherwise, a temporary solution may become permanent.

What Is Unintentional Technical Debt?

Unintentional technical debt can occur when teams fail to recognize the long-term consequences of their decisions. Limited experience, insufficient technical evaluation, or an incomplete understanding of project requirements may contribute to this situation.

For example, duplicating similar code without considering whether it could be reused in different parts of an application may increase maintenance costs later. Code reviews and regular technical assessments can help identify this type of debt early.

What Are Code, Architectural, and Testing-Related Technical Debt?

Technical debt is not limited to complex code. It can emerge across different layers of a software system, and each type may require a different improvement strategy.

• Code debt: Complex functions, duplicated code, and confusing naming conventions.
• Architectural debt: Design decisions and excessive dependencies between components that make it difficult to add new features.
• Testing debt: Insufficient automated tests or missing coverage for important scenarios.
• Documentation debt: Outdated or incomplete technical explanations.
• Infrastructure debt: Tools, dependencies, or development environments whose updates have been postponed.

How Does Technical Debt Affect Software Projects?

As technical debt increases, making changes to software may require more time and effort. Even adding a simple feature can involve examining multiple components, resolving unexpected issues, and performing additional tests.

This can slow down the development of new features. It may also increase the risk of bugs by making the code harder to understand and complicating maintenance activities.

However, not all technical debt needs to be resolved immediately. Debt in a rarely modified, low-risk component may have lower priority than similar debt in a critical component that changes frequently. Both the impact of the debt and the cost of resolving it should be considered when setting priorities.

How Can Technical Debt Be Managed?

Technical debt management involves identifying existing issues, prioritizing them, and making improvements at the appropriate time. The goal is not to eliminate all technical debt at once, but to establish a balanced approach that preserves software maintainability.

1. Identify and Document Technical Debt

The first step is to identify areas of the codebase that make development more difficult. Code reviews, test results, bug reports, and developer feedback can all be useful at this stage.

Identified issues can be recorded in an issue-tracking system. Each entry should describe the problem, the affected component, its potential consequences, and the proposed solution. This ensures that technical debt does not remain an issue remembered only by individual team members.

2. Prioritize Issues

Not all technical debt has the same level of importance. Some issues affect reliability, while others cause only minor delays during development. Decisions should therefore consider risk, frequency, business impact, and the effort required to resolve each issue.

For example, complex code in a frequently modified module may deserve higher priority than a similar issue in a rarely used component. Prioritization helps teams allocate their limited time to improvements that deliver the greatest value.

3. Apply Refactoring

Refactoring is the process of improving the internal structure of software without changing its externally observable behavior. It can help reduce the code-quality aspects of technical debt.

Examples of refactoring include extracting duplicated code into shared functions, splitting functions that have too many responsibilities, and simplifying complex conditional statements. These changes should be supported by appropriate tests to ensure that existing functionality remains intact.

4. Use Automated Tests and Code Reviews

Automated tests help verify that existing functionality continues to work after code changes. Code reviews allow other developers to evaluate a solution and identify potential issues.

When used together, these practices can help detect problems that might otherwise contribute to growing technical debt at an earlier stage. They also encourage consistent coding standards across the team.

5. Allocate Regular Time for Technical Debt

When technical debt work is continually postponed, it can accumulate and lead to larger improvement efforts. Teams can address this by including technical improvements in sprint planning or product roadmaps.

Resolving small issues discovered during feature development within the same task, when appropriate, is another effective approach. Larger changes can be planned as separate tasks. This ensures that technical debt management does not depend entirely on major maintenance initiatives.

How Is Technical Debt Measured?

Technical debt cannot always be evaluated using a single metric. Its impact varies depending on the software architecture and the team's working practices. For this reason, quantitative indicators should be considered alongside developer experience and project context.

Useful indicators to monitor include:

• Bug frequency: The number of recurring issues in specific components.
• Change lead time: The time required to develop a feature or modify existing code.
• Test coverage: The proportion of code covered by automated tests.
• Code complexity: Structures that make functions and components difficult to understand.
• Code duplication rate: The extent to which code performing similar functions is repeated.

These indicators do not provide definitive conclusions on their own. For example, high test coverage does not always mean that the tests are effective. Metrics should be used to identify areas where improvements may be needed.

Effective technical debt management requires teams to consider not only the current needs of their software but also future development requirements. Identifying issues early, prioritizing them appropriately, applying refactoring, and maintaining regular testing practices help create a more sustainable codebase. This allows teams to continue developing new features while preserving the quality of their existing software.