When building software, developers often have to make trade-offs between speed and quality. While it’s tempting to take shortcuts to meet deadlines or push out features faster, these shortcuts often accumulate into technical debt—a term used to describe the extra work incurred when you choose an easy solution now rather than a more optimal solution that requires more time and effort.
40% of development time is spent paying down technical debt, which can impact the long-term success of your project. If left unmanaged, technical debt can pile up, making it harder to add new features, fix bugs, and maintain the application over time.
In this blog, we’ll take a closer look at what technical debt is, why it happens, the consequences of ignoring it, and most importantly, how to manage and reduce it effectively to ensure the long-term success of your software development projects.
Technical debt is the concept of taking shortcuts in software development that increase future maintenance costs. These shortcuts can include things like writing quick, unoptimized code, ignoring code reviews, skipping tests, or using outdated libraries or frameworks.
Just like financial debt, technical debt accumulates interest. The longer you ignore it, the more it costs to pay off. For example, if you use a hacky solution to solve a problem quickly, you might end up revisiting the same issue months later, when it becomes more complicated to fix.
Technical debt doesn’t just happen overnight; it builds up over time due to various factors. Here are some of the primary causes:
In the race to meet tight deadlines, teams often take shortcuts in order to ship features faster. While these quick solutions may seem acceptable in the short term, they eventually lead to increased complexity and inefficiency in the long run.
Why this happens:
Refactoring is the process of revising and improving existing code without changing its functionality. Neglecting to refactor when code becomes messy or outdated is a major cause of technical debt.
Why this happens:
Skipping or rushing code reviews can lead to the introduction of poor-quality code that doesn’t adhere to best practices. Without proper peer review, technical debt accumulates rapidly as bugs and inefficiencies go unnoticed.
Why this happens:
Skipping tests or writing inadequate tests may save time upfront, but it significantly increases the risk of introducing bugs and makes the code harder to maintain. As the application grows, the lack of proper testing results in a fragile system that is difficult to modify or extend.
Why this happens:
While technical debt is inevitable, the key is to manage it effectively to prevent it from taking over the development process. Here are some best practices to help manage and reduce technical debt:
Just like with financial debt, technical debt needs to be tracked and repaid. Start by identifying areas where technical debt is accumulating, prioritize them, and create a plan to pay it down incrementally.
Best Practice:
A solid code review process ensures that code quality is maintained and that poor practices aren’t carried over to the project. Regularly reviewing and improving the codebase prevents the accumulation of technical debt.
Best Practice:
Automated tests can save a significant amount of time and reduce the risk of introducing new bugs while addressing technical debt. By writing automated tests for critical functionality, you can ensure that new changes don’t introduce regressions.
Best Practice:
Make refactoring a regular part of your development process. Encourage developers to revisit and improve old code regularly to reduce technical debt and ensure that the code remains clean and maintainable.
Best Practice:
Technical debt should not be a hidden issue; make it visible to everyone involved in the project. By tracking and making debt transparent, you create a culture where everyone is responsible for reducing debt and improving the quality of the software.
Best Practice:
Let’s look at a real-world example of how managing technical debt can help improve the long-term success of a project.
Example: A SaaS Platform’s Success A SaaS company’s development team faced a huge backlog of technical debt, primarily due to rushed development and missing refactoring cycles. The team implemented a strategy of prioritizing technical debt repayment and committed to refactoring parts of their codebase every two weeks. They also invested in automated testing and established a clear code review process. Over the course of several months, the team was able to reduce their technical debt significantly, which led to faster feature delivery, fewer bugs, and improved developer morale.
Technical debt is a natural part of software development, but it should not be allowed to accumulate unchecked. By making technical debt visible, prioritizing it, and following best practices like refactoring, automated testing, and code reviews, you can ensure that your project remains scalable, maintainable, and high-performing.
Remember, paying down technical debt is not a one-time task—it’s an ongoing process. By adopting a mindset of continuous improvement, your team will be able to avoid the pitfalls of unchecked debt and deliver high-quality software faster.
For more on improving code quality, check out our blog on code quality practices and how they prevent technical debt.
Ready to tackle your technical debt and improve the long-term sustainability of your software? Reach out to our team of experts to explore how we can help you implement best practices for managing technical debt and improving your development processes. It’s completely free, and we’re passionate about helping you build scalable, maintainable applications! Contact us here