Technical Debt

What is Technical Debt ?

Technical debt, often known as tech debt or code debt, is the outcome of initiatives taken by development teams to speed the delivery of a piece of functionality or a project that subsequently needs to be refactored. In other words, it is the effect of putting speed above perfection in coding. Technical debt is often used to push an MVP out the door and beat rivals to market. People may not adopt the most perfect solution now, but they begin generating revenue sooner and can carve out time in the future to address and fix those flaws.

Frequently Asked Questions (FAQ’s)

1. What Are Some Good Examples Of Technical Debt?

  • Technical debt in the code itself – A product developer may sometimes produce modular code, code whose modules aren’t coherent, code whose modules are named strangely and not in accordance with what they are meant to perform. Nonetheless, the developer may produce ugly code, lengthy procedures, and a plethora of temporary variables.
  • Technical debt in documentation – Inadequate or out-of-date documentation is one of the most major drivers of technical debt. Technical debt in documentation is often caused by developers working too quickly and using shortcuts. Developers should ideally record why they made their decisions and what they meant when they did them, or why they divided their entities into modules, and so on. It’s also a good idea for developers to keep their documentation up to date as they modify and add to their code.
  • Changing system design without changing the organization structure – Engineering teams are confined to building systems that mimic their organization’s communication structure. Modifying the system architecture without concurrently changing the organizational structure results in technological debt.
  • Too few or too many automated tests – A common issue is insufficient to test coverage. Complex code is difficult to update or rework, and errors are more difficult to find and resolve without automated test coverage above the integration level. As a result, the code becomes resistant to modification, resulting in technical debt. Having too many brittle tests that fail with every change and require more maintenance than the application code itself, on the other hand, is a kind of technical debt.
  • Outgrowing database models – Growth leads to greater entropy in the codebase, which leads to more technical debt. It’s terrifying since the rest of the system often depends on the model’s structure. Changing the basis of the database model has repercussions across the system, and addressing this is seldom as simple as restructuring models.

2. What Are Some Good Ways To Avoid Technical Debt?

3. What Are Some Good Ways Of Keeping Track Of Technical Debt?

4. Why Technical Debt Is Important?

5. What Are Some Causes Of Technical Debt?

6. Are There Different Types of Technical Debt?

7. How Do You Reduce Technical Debt?

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