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The rise of AI in software development is rendering traditional software measurement assumptions obsolete, necessitating a radical rethink of how we validate our findings.
AI's role in code review is not a simple enhancement; it hinges on human expertise and the review process structure, revealing a complex interplay that challenges prevailing assumptions.
AI adoption catalyzed a 109% increase in developer throughput, fundamentally reshaping the code review landscape in the process.
