Explore prioritizing technical debt in software development through a data-driven approach in this conference talk. Learn how to leverage version control data to uncover organizational patterns and make informed decisions about code improvements. Discover techniques for identifying legacy code, analyzing microservice architectures, and balancing short-term and long-term goals. Gain insights from real-world case studies of Android, Linux Kernel, and .NET Core Runtime. Understand the impact of team structures on code quality and learn how to use behavioral data to optimize software architecture. Apply these strategies to your own codebase and improve developer productivity while managing technical debt effectively.