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Explore techniques for prioritizing technical debt in large-scale software systems through this insightful conference talk. Learn how to leverage version control data to uncover development patterns and make informed decisions about code improvements. Discover a language-neutral approach to balancing short-term and long-term goals in software development, illustrated with real-world examples from Android, Linux Kernel, and .NET Core Runtime. Gain a new perspective on software evolution, legacy code, and the importance of context in addressing code quality issues. Understand how to quantify technical debt, identify hotspots in your codebase, and mitigate risks associated with developer off-boarding. Examine case studies from various projects and learn practical tools to apply these concepts to your own code.
