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Ziegler GitHub Productivity

Measuring GitHub Copilot's Impact on Productivity

AI-focusedPublicWorker-side
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Specific Type
Experimental AI usage evidence
Dataset Type
Cross-sectional
Institution
GitHub; Microsoft
Institution Type
Industry
Level of Focus
Individual
Most Granular Level
Individual developer level
Perspective
Worker-side
Time Coverage
2022
Frequency
One-time study
Sample Size
2,631 developers
Geographic Detail
Not specified
Occupational Classification
Software developers
Industrial Classification
Technology/Software
Other Classification
User experience level; task types
Key Variables
Productivity perceptions; coding efficiency; user satisfaction; adoption patterns
AI/Tech Tracking
GitHub Copilot usage patterns and satisfaction
Access Details
Published results available
Notes
Large-scale user study; confirms productivity gains consistent with controlled experiments

Key Papers

Peng et al. (2023); Ziegler et al. (2024) Communications of the ACM