tech-debt

You can track technical debt by scanning your codebase for indicators like TODOs and large files, then logging them into a centralized Markdown register. This approach categorizes debt into architectural, code quality, test, and performance domains for proactive management.

The best way to prioritize technical debt repayment is by scoring identified items based on their impact and effort. This generates a prioritized recommendation list, helping teams decide exactly which debt items to tackle during the current sprint.

Automated code scanning detects technical debt indicators by searching for common annotations and structural issues. It identifies TODOs, FIXMEs, code duplication, and large files or functions, maintaining a categorized register for tracking.

Yes, you need glob, grep, and write tools to perform file system operations and text manipulation. These tools allow the scanner to search the codebase for debt indicators and automatically write the results to a Markdown register.

Yes, you can generate summary reports on the state of your technical debt, including trends and aging items. This reporting feature helps development teams monitor debt accumulation and evaluate the effectiveness of their maintenance efforts.