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Technical Debt as Crime Scene 🔍 — with Adam Tornhill

Refactoring Podcast

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Quantifying Technical Debt

This chapter underscores the significance of using empirical data to measure technical debt in software development, advocating for data-driven decision-making to address underlying code issues. It emphasizes the dangers of neglecting good engineering practices and the importance of analyzing trends over time to maintain code quality.

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