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

Catalog evidence and recorded chart appearances. Inclusion is not an endorsement.

Source snapshot imported 2026-10-20. This is not a live feed. Source and contributions.

Evidence and limits

Finding: Allowing AI tools increased completion time by 19%, even though participants expected and later believed that AI made them faster.

Impact: Strengthen observed-versus-perceived outcome checks. Reject self-reported speed as evaluation evidence.

Boundary: The sample is small, unusually experienced, and limited to early-2025 tools and familiar repositories. Next: which task and familiarity features predict when assistance becomes overhead?

Flags: small participant count; early-2025 tools; open-source setting

Record State: Catalog review recorded; not a performance endorsement

What was reviewed: Structure and relevance screened; not a full evaluation

Inspect original source

Recorded chart appearances

  • 2026-10-13: position 72. Relevant to the recorded review topic (see source); Structure and relevance screened; not a full evaluation evidence
  • 2026-10-12: position 71. Relevant to the recorded review topic (see source); Structure and relevance screened; not a full evaluation evidence