Whitepaper
Measuring AI code assistants and agents
To thrive in the AI era, organizations must adapt quickly. The DX AI Measurement Framework™ is a research-based set of metrics for measuring the impact of AI-assisted engineering in your organization.
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Executive summary
The rise of AI is reshaping how engineering organizations must chart their path to success. Companies are no longer as limited by the number of engineers they can hire, but rather, the degree to which they can augment them with AI to gain leverage.
In order to navigate this shift, leaders need metrics on the efficacy of AI code tools and agents. But today, many leaders struggle to answer pressing questions: Which tools are working? How are they being used? What’s actually driving value?
This whitepaper shares the DX AI Measurement Framework™, which includes AI-specific metrics to enable organizations to track AI adoption, measure impact, and make smarter investments. When combined with the DX Core 4, which measures overall engineering productivity, this framework provides leaders with deep insight into how AI is providing value to their developers, and what impact AI is having on organizational performance.
Our approach has been developed in partnership with leading companies, researchers, and AI vendors.