Blog
Notes from the field
What we learn working with engineering teams rolling out AI tools. No hype, no vendor spin — just what we see working and what we see failing.
What happened when 200 engineers got Claude Code access with zero training
The actual adoption curve: 10% power users, 60% occasional, 30% never touched it. What changed when structured onboarding was added.
I stopped telling engineers to 'just try AI' and started giving them a failing test
Adoption went from 30% to 80% in the pilot group when we replaced open-ended exploration with a specific lab exercise.
How we measure AI training ROI without lying
The honest version: you can't measure "productivity gain" directly. But you CAN measure four things that actually matter.
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