AI for Engineering Teams
Maturity models, quality metrics, and capacity planning frameworks for engineering leaders navigating AI adoption — from measurement to hiring decisions.
3 resources
AI
AI Headcount Planning
A per-team capacity model for answering 'what does AI let us not hire — or redeploy?' with scenarios, not guesswork.
5 min readRead
AI
AI Maturity Levels
A four-level maturity model that separates 'are we using AI' from 'is AI working' from 'is AI changing what we choose to build.'
5 min readRead
AI
AI Code Quality Metrics
Five quality-adjusted metrics that make 'AI wrote a lot of code' an impossible answer. All computable from tools you already use.
6 min readRead
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