Adoption
Organization · last 30 days
Engineers using AI
161/ 175
49 on track84 watch list28 need help
Adoption over time
+7%
92%of engineers · Jan – Jun 2026
Jan 2026Jun 2026
Training payoffJan – Jun 2026
+6 ptsadoption since Jan
118 of 175 engineers trained67%
Teams with most of the team trained rose +12 pts since Jan; teams with few trained fell 6 pts.
Adoption by department
AI Engineering Lab30 eng · 4 teams
99%+17%
Developer Experience28 eng · 4 teams
98%+13%
Learning Platform33 eng · 4 teams
95%+6%
Enterprise Enablement26 eng · 3 teams
92%+4%
Outcomes & Hiring20 eng · 3 teams
87%+3%
Core Systems38 eng · 4 teams
81%+3%
AI usage by task
The more work AI completes end-to-end, the more value a team gets — full tasks are the strongest signal.
Full tasks
AI completes multi-step work end-to-end
Code suggestions
inline help while engineers type
Q&A
asking the AI questions
Review help
AI checks code before it ships
Where to help nextAll recommendations
Data Pipelines
Core Systems
Infrastructure
Core Systems
Identity & Billing
Core Systems
Hiring Workspace
Outcomes & Hiring
Admin Platform
Core Systems
Interview Systems
Outcomes & Hiring