What do you mean by Technical debt in Scrum

Technical debt in Scrum refers to the accumulated shortcuts, compromises, and suboptimal decisions made during the development process. These shortcuts are taken to expedite the delivery of a feature or product, but they result in future costs due to the need for additional work to fix or refactor the code later on.

In Scrum, technical debt can manifest in various forms:

1. **Code Quality**: Rushing through coding without proper design and testing can lead to poor code quality, making it harder to maintain and extend the software in the future.

2. **Lack of Documentation**: Skipping documentation or writing insufficient documentation can hinder the understanding of the codebase for future developers, resulting in delays and mistakes.

3. **Bypassing Tests**: Ignoring or bypassing unit tests, integration tests, or other forms of testing can lead to undetected bugs and decrease the overall reliability of the software.

4. **Temporary Solutions**: Implementing quick fixes or temporary solutions to meet immediate deadlines without considering long-term implications can accumulate technical debt.

5. **Ignoring Best Practices**: Failing to adhere to coding standards, architectural guidelines, and best practices can result in a messy codebase that becomes harder to maintain over time.

6. **Delayed Refactoring**: Postponing refactoring efforts to clean up the codebase and address technical debt can lead to increased complexity and difficulty in making changes in the future.

Addressing technical debt in Scrum involves balancing between delivering new features and allocating time to refactor and improve the existing codebase. It requires constant vigilance, communication, and collaboration among team members to prioritize and tackle technical debt effectively without sacrificing the delivery of value to the customer.

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