Technical debt and developer productivity: How to break the vicious circle

Technical debt and developer productivity: How to break the vicious circle

In the fast-paced world of [software development](/services/software development) there are scarce deadlines and constantly changing requirements on the agenda. In order to keep pace, development teams sometimes resort to fast solutions and compromises, which save time in the short term but lead to a phenomenon known as technical debt. But what exactly is behind this concept and what impact does it have on the productivity of developers? In this post, we highlight the causes and consequences of technical debt and show you how to effectively reduce them.

What are technical debts?

The term "technical debt" was coined by the software developer Ward Cunningham and describes the implicit costs arising from reworking due to a suboptimal technical solution in the present. Imagine it as a financial loan: You now take a shortcut to publish a feature more quickly, but later you have to pay "interests" in the form of additional development time, increased complexity and potential errors.

The causes of technical debt

Technical debt can arise for various reasons. Among the most common causes are:

• Time Print: Enge Deadlines often force developers to fast, but not sustainable solutions.
• ** Changing requirements:** If project requirements change during development, original design decisions can be obsolete.
• Distinct documentation: Unreasonable or outdated documentation makes it difficult for new team members to understand and maintain the code.
• Fealing tests: Unreasonable test cover results in errors remaining undetected and accumulating over time.
• Inexperience of the team: Lack of knowledge about best practices and design patterns can lead to suboptimal architectural decisions.

The effects on developer productivity

The accumulation of technical debt can significantly affect the productivity of a development team. The consequences are diverse and range from slow development processes to frustrated employees.

• **The more technical debt is present, the more difficult and time-consuming it becomes to implement new functions or to change existing ones.
• Increased error susceptibility: Complex and unstructured code is more prone to errors, resulting in more bugs and higher test effort.
• Slower motivation: Continuous work on a difficult to maintain system can significantly reduce the motivation of developers.
• Simplified onboarding: New team members need more time to work into a complex and badly documented code base