Adoption
Department

Developer Experience

28 engineers · 4 teams

Operating lift
1.52/ 2
+0.08 QoQ
AI adoption
98%
2%
of engineers
$ / seat · mo
$309
0%
Trained
79%
22/28 engineers
Top outcome

28% fewer bugs reaching prod since the trained cohort ramped.

Recommended actions
Developer ExperienceCoach cohort

Review standards are holding and spend discipline is strong; the open gap is workflow depth on AI PRs.

Model routingExpand rollout

Standard-tier routing on refactors is a repeatable win ready to expand to peer departments.

All recommendations
How Developer Experience uses AI
Full tasks
AI completes multi-step work end-to-end
45%
Code suggestions
inline help while engineers type
33%
Q&A
asking the AI questions
15%
Review help
AI checks code before it ships
7%
Training liftJan → Jun 2026
PRs using AI agents83% · was 45%
Reviews with AI notes80% · was 52%
Runs with context summary74% · was 48%
AI PRs with eval hooks68% · was 34%
$ / issue
$119
9%
$ / seat · mo
$309
0%
$ / 1k lines
$21
7%
Hours / issue
6.2
9%
Budget used · month60% of $16.0k