Understanding Technical Debt: What It Is and Why It Matters

Many developers are well aware of the concept of technical debt, but that’s not true for those who aren’t associated with the programming world.

In layman’s terms, when a team of developers prioritise delivering a speedy solution over a flawless code to cater to urgent requirements, they might settle for less efficient, less refined or not-so-accurate code. That decision becomes a technical debt.

At times, this trade-off becomes crucial to get ahead of the competitors. Hence, it’s a deliberate route taken for immediate benefits at the cost of future risks. So, the longer you take to resolve this debt, the harder it is to repair. Therefore, it is essential to mend the flaws to avoid collapse eventually.

In the following article, we are going to analyse the concept of technical debt, what its types are, how they matter, why they occur, and how to effectively manage and reduce it!

So, let’s get the ball rolling!

What Is technical debt?

Technical debt is a situation that occurs when developers choose quick fixes instead of writing high-quality code to meet tight deadlines. Simply put, suppose you borrow money, so you get what you need fast, but you’ll have to pay it back later, often with extra effort.

Just like financial debt, Short-term technical debt builds up over time. If the code isn’t improved later, it can cause bigger problems, which is exactly how unpaid loans pile up interest and penalties.

Technical debt, also referred to as design debt as well as code debt, isn’t always bad. Sometimes, quick solutions are necessary. However, if the code remains messy or inefficient, it can slow down future development and lead to costly fixes.

Let’s simplify this with a well-known example of technical debt in the Year 2000 or Y2K problem:

The Y2K problem happened because developers in the 1970s saved memory by using two-digit years, like “73” instead of “1973.” This caused major issues by 2000, costing billions to fix. Technical debt also affects cybersecurity—like when temporary file access isn’t revoked, creating security risks. These examples show how shortcuts can lead to bigger problems later.

Types of technical debt

Technical debt comes in different forms but can be grouped into five main categories: intentional, unintentional, documentation, infrastructure and environmental debt.

Intentional Debt: Sometimes, companies intentionally create technical debt, knowing the risks and costs. This is called ‘planned debt.’ Reckless debt happens when teams rush and write messy code to meet deadlines. Prudent debt is small, manageable and affects parts of the code that rarely change.
Unintentional Debt: This technical debt happens when teams use poor coding practices without realising it. This often occurs when companies hire inexperienced developers or skip proper testing and code reviews. As a result, issues including security risks, can go unnoticed for a long time.
Documentation Debt: This debt happens when developers rush and don’t properly document their code. Over time, this becomes a problem, especially if someone leaves the company without explaining their work. Poor documentation was a major reason the Y2K issue became so costly to fix.
Infrastructure Debt: It happens when software depends on specific systems like databases or file storage. If these dependencies aren’t documented and the company upgrades its infrastructure, the application might stop working, leading to unexpected issues and expensive solutions.
Environmental Debt: It happens when teams don’t update software over time. For example, an old web app may stop working well as programming languages evolve. To fix this, developers must pause new work, update the code and ensure it stays compatible with the latest versions.

What leads to technical debt?

Here are some common causes of technical debt that you must know:

1. Undefined requirements

This happens when development starts without proper planning or design. If the software development debt isn’t clearly defined or requirements keep changing during development, the initial work may no longer fit the project’s needs by the time it’s completed.

2. Business constraints

Businesses often rush to launch products to stay competitive, even if they’re not fully ready. This is why some websites and apps crash or have major bugs at launch. With ongoing business pressure, fixing these issues may keep getting delayed.

3. Limited technical expertise

Even experienced business leaders may not realise the impact of technical debt. As they focus on releasing updates and growing the business, they might overlook the hidden challenges and long-term impact of technical debt issues piling up in the background.

4. Poor collaboration

Important knowledge is stuck within certain teams or individuals, leading to poor communication and lack of training. This leads to repetitive mistakes, slower problem-solving and increased technical debt, making it harder to maintain and improve projects efficiently.

5. Tightly integrated software with poor testing

When software functions are too dependent on each other, updating or modifying one part can break the entire system. Without proper testing or validation, quick fixes may introduce unexpected issues, making it harder to adapt to business needs.

6. Parallel development efforts

In many companies, different teams work on separate parts of the code at the same time. When all the pieces are merged, they may not fit well together, causing issues. The more disconnected the work, the more technical code debt builds up.

How can teams effectively manage and reduce technical debt?

Handling technical debt starts with smart development practices. In a DevOps setup, testing should happen both early and after deployment:

Shift-left testing means testing happens early in the development process to catch and fix issues before they reach production.
Shift-right testing focuses on gathering feedback after the software is live, so bugs can be found and fixed quickly before they affect many users.

These methods act as safeguards to prevent problems from growing. While quick fixes are sometimes necessary, developers should document them, explaining why they were used and how they can be improved later. Regular code reviews also help teams spot issues and fill documentation gaps.

Key practices to manage technical debt

To keep technical debt in check, teams should use agile strategies such as:

Early and late-stage testing (shift-left and shift-right) to catch bugs before they escalate.
A/B and canary testing to identify issues before a full rollout.
Peer code reviews for fresh perspectives on code quality.
Standardised tools and coding practices to ensure consistency.

An efficient DevOps setup gives developers creative freedom while maintaining clear guidelines to prevent chaotic development.

Tools to reduce technical debt

Besides best practices, using the right tools can further minimise technical debt:

Automated testing runs frequent debugging cycles with every code change.
Clear documentation rules ensure that all fixes and workarounds are well-documented.
Project management tools help teams track work progress.
Pair programming implies that two developers who work together ensure better understanding and decision-making.

Many modern applications rely on low-code and no-code tools, which offer visual flowcharts and self-documenting features. Instead of replacing developers, these tools improve efficiency and should be embraced as productivity boosters.

Conclusion

Technical debt is no less than a headache for software development teams. It may be due to tough decisions, mistakes, or rapid launches. Managing it requires continuous tracking, maintenance and clear communication within teams. Agile teams that prioritise transparency can resolve issues faster and prevent long-term inefficiencies.

So, what are you waiting for? Start the process to find out and tackle the technical debt now to secure a sustainable future for your projects.

Understanding Technical Debt: What It Is and Why It Matters

What Is technical debt?

Types of technical debt

What leads to technical debt?

1. Undefined requirements

2. Business constraints

3. Limited technical expertise

4. Poor collaboration

5. Tightly integrated software with poor testing

6. Parallel development efforts

How can teams effectively manage and reduce technical debt?

Key practices to manage technical debt

Tools to reduce technical debt

Conclusion

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Understanding Technical Debt: What It Is and Why It Matters

What Is technical debt?

Types of technical debt

What leads to technical debt?

1. Undefined requirements

2. Business constraints

3. Limited technical expertise

4. Poor collaboration

5. Tightly integrated software with poor testing

6. Parallel development efforts

How can teams effectively manage and reduce technical debt?

Key practices to manage technical debt

Tools to reduce technical debt

Conclusion

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