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SRC-d8f6ed52d2217155 · Source record

Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity

Model Evaluation & Threat Research (METR) · 4 connected claims

D10 · Qube, Agent Products & Autonomous WorkD13 · Software Platforms, Cloud & IntegrationD18 · Operations, Governance & OrganizationD23 · Climate, Energy, Mobility & Built Environment

Canonical route

https://metr.org/Early_2025_AI_Experienced_OS_Devs_Study-paper.pdf

Claims connected to this source

  1. MWITA-CR-2026-0017In METRs randomisierter Studie benötigten 16 erfahrene Open-Source-Entwickler mit frühen 2025er AI-Tools für 246 reale Aufgaben 19 % mehr Zeit, obwohl sie eine Beschleunigung erwarteten.Evidence A
  2. MWITA-FT-2026-018METR's randomized controlled trial of 16 experienced open-source developers completing 246 tasks in familiar repositories found 19% longer completion time with early-2025 AI tools, despite participants expecting and perceiving speedups.Evidence B
  3. MWITA-MB-2026-005METR randomized 246 tasks from 16 experienced open-source developers on familiar repositories and estimated that access to early-2025 AI tools increased completion time by 19%.Evidence A
  4. MWITA-WO-2026-006METR's randomized trial of 16 experienced open-source developers completing 246 tasks in familiar repositories found AI access increased completion time by 19%, despite participants believing it had made them faster.Evidence A

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