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How 18 companies measure AI’s impact in engineering
The real metrics that GitHub, Google, Dropbox, and 15 other companies use to measure AI impact.
Sep 17
•
Laura Tacho
12
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AI cuts onboarding time in half for new hires in the enterprise
Data from DX shows that engineers who use AI daily reach onboarding milestones nearly twice as fast as non-users.
Sep 10
•
Laura Tacho
16
The evolving role of DevProd teams in the AI era
AI is reshaping the mandate for platform teams. Here’s what they should focus on to stay relevant and drive impact.
Sep 4
•
Abi Noda
and
Laura Tacho
15
The SPACE of AI: Real-world lessons on AI’s impact
Developers overwhelmingly believe AI enhances their productivity, yet its impact is far from uniform across all tasks and teams.
Aug 21
•
Abi Noda
19
How Faire's platform team built an AI code review agent
A closer look at how Faire is putting AI to work beyond just code generation.
Aug 13
•
Abi Noda
and
Justin Reock
11
Unpacking METR’s findings: Does AI slow developers down?
Why the slowdown occurred, and advice for using AI tools more effectively.
Aug 6
•
Abi Noda
17
Measuring engineering productivity in the AI era
How to track AI's impact, keep an eye on quality, and use metrics to drive action.
Jul 30
•
Abi Noda
and
Laura Tacho
12
METR’s study on how AI affects developer productivity
In this study, developers were 19% slower when using AI.
Jul 23
•
Abi Noda
21
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