<ul><li>The 2024 DORA report shows a correlation between AI adoption and a drop in throughput and stability in software development.</li><li>Traditional metrics focusing on velocity or output alone may sacrifice quality, security, and maintainability in AI-generated code.</li><li>AI can help in speeding up development processes, but it also requires developers to validate and debug AI-generated code, shifting cognitive load.</li><li>Not all developers benefit equally from AI assistance, and the cultural impact of misaligned metrics can damage morale within development teams.</li></ul>

Code ≠ Value ! The problems with measuring GenAI Productivity

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