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Back to datasetsKey Variables Task completion time; productivity measures; developer perceptions; objective vs subjective performance AI/Tech Tracking Cursor Pro with Claude 3.5/3.7 Sonnet usage Access Details Available from METR Notes AI tools slowed developers by 19%; developers incorrectly believed AI sped them up by 20%; 246 real GitHub issues across large repositories
METR Open-Source Developers
Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity
AI-focusedPublicWorker-side
Visit Dataset- Specific Type
- Experimental AI usage evidence
- Dataset Type
- Cross-sectional
- Institution
- METR
- Institution Type
- Non-profit
- Level of Focus
- Individual
- Most Granular Level
- Individual developer level
- Perspective
- Worker-side
- Time Coverage
- 2025
- Frequency
- One-time experiment
- Sample Size
- 16 experienced open-source developers (small sample)
- Geographic Detail
- Not specified
- Occupational Classification
- Software developers
- Industrial Classification
- Technology/Software
- Other Classification
- Experience level; repository size
Key Papers
METR (2025)