Source Sample Key Metric What It Measures
Stack Overflow 2023 89,184 43.8% using AI tools "Use in development process" — narrower than "ever used"
Stack Overflow 2024 65,437 61.8% currently using Same framing as 2023; year-over-year comparable
Stack Overflow 2025 49,009 47.1% daily, 78.5% total Shifted to frequency reporting; trust data added
DORA 2025 (Google) ~5,000 90% adoption, 2 hr/day median Technology professionals (not dev-only); org-level outcomes
HackerRank 2025 13,732 97% use ≥1 AI assistant "At least one" = low bar; hiring community sample
JetBrains 2025 24,534 85% regularly use AI tools IDE ecosystem survey; "regularly" undefined
GitHub Survey 2024 2,000 ~97% ever used AI tools "Ever used at any point" — not a frequency measure
Gartner 2024 598 63% orgs piloting/deploying Enterprise IT lens; forecasts, not direct adoption
Pragmatic Engineer 2026 906 Claude Code 71% among agent users Small, self-selected; median 11–15 yrs experience

Survey Comparison Matrix

Side-by-side view highlighting methodological differences that explain why adoption numbers range from 47% to 97%.

Dimension Stack Overflow 2025 DORA 2025 HackerRank 2025 GitHub 2024
Headline adoption 78.5% 90% 97% ~97%
Question framing "Currently using" (frequency) "Use AI tools" (any) "Use at least one AI assistant" "Ever used AI coding tools"
Sample size 49,009 ~5,000 13,732 2,000
Audience Self-selected developers Tech professionals (broader) Hiring community Commissioned panel
Selection bias SO users skew experienced Google-adjacent orgs Job-seekers, early career Paid participants
Trust data Yes (46% distrust) Yes (24% "a lot") No No