tech-debt

To identify technical debt, analyze your codebase to detect code, architecture, test, dependency, documentation, and infrastructure debt. Categorizing technical debt involves organizing these issues into predefined types with their associated risks to improve code quality and development velocity.

The best way to prioritize technical debt is using a scoring framework that evaluates each item based on its impact, risk, and effort. Prioritizing technical debt this way generates a ranked list to help teams address critical refactoring tasks first while balancing feature development.

Creating a technical debt remediation plan involves producing phased schedules that integrate debt resolution with ongoing feature development. A technical debt remediation plan ensures that addressing architecture, code, and test debt progresses systematically without halting new feature delivery.

Yes, you can run a technical debt audit that covers both code and infrastructure issues. A technical debt audit detects various types including code, architecture, test, dependency, documentation, and infrastructure debt, providing a comprehensive overview of maintenance needs across your project.

In a software engineering project, the types of technical debt to look for include code, architecture, test, dependency, documentation, and infrastructure debt. Identifying these categories of technical debt allows teams to map associated risks and apply a structured scoring framework for prioritization.