Engineering leadership for retail and eCommerce teams navigating AI.
The patterns your team feels but hasn’t named yet. Weekly. Free.
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Latest Writing
The governance gap nobody talks about when your team ships AI-generated code
Technical leaders are being asked to set AI standards, define acceptable output quality, and govern what gets into production. You cannot do any of that if you've lost your own connection to how your team builds. Here's what the drift looks like, and what it costs you when AI has already doubled your team's output.
AI usage numbers can look healthy while your engineers quietly stop being able to explain their own systems
When I reviewed my team's AI adoption dashboard last quarter, every number was moving in the right direction. What the dashboard couldn't show me was who had stopped understanding the systems they were shipping. Adoption metrics and skill development metrics are not the same thing. I had been treating them like they were.
Why compliance dashboards can't tell you what's actually happening with AI on your engineering team
More than 500 engineers described what happened when their companies chose mandates over conversations. The dashboards showed adoption. The engineers showed compliance. What didn't appear anywhere was what wasn't working.