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trailUsing AI tools caused experienced open-source developers to complete tasks about 20% slower in early 2025.
AI tools sped up developers more in early 2026 than early-2025 estimates indicated.
Coding benchmark scores and anecdotal reports overestimate real-world AI coding capability.
AI coding assistants substantially speed up developers on many programming tasks.
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Randomized trial evidence· for
In METR's 2025 randomized controlled trial, using AI tools increased developers' task completion time by 19%
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METR's measured AI slowdown is robust across alternative statistical estimators and empirical strategies
shared · shown elsewhere
METR's 2025 sample of 246 completed issues from 16 developers gave sufficient statistical power to detect AI's effect on developer productivity.
Issue-level randomization made METR's 246 completed issues, not its 16 developers, the effective sample for estimating the AI slowdown.
METR's measured AI slowdown remained statistically significant when accounting for developer-level clustering.
The METR study had sufficient statistical power to detect a productivity slowdown but insufficient power to estimate its magnitude precisely.
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After completing the tasks, developers who had been slowed down by AI tools still believed AI had sped them up by about 20%.
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Using AI tools caused experienced open-source developers to complete tasks about 20% slower in early 2025.
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