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Measuring AI code assistants and agents with the AI Measurement Framework

Engineering Enablement by Abi Noda

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Measuring AI Impact on Development

This chapter explores the complexities of measuring the effectiveness of AI code assistants in software development. It discusses various methodologies for data collection and emphasizes a nuanced approach to understanding developer interactions with these tools. Additionally, it highlights the importance of viewing AI as an extension of human capabilities rather than a standalone solution, advocating for a data-driven strategy to evaluate productivity and impact.

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