Engineering teams are already using AI across the entire development process – code generation, testing, documentation, code review, deployment. The harder question is how any of that turns into a real delivery improvement rather than a pile of individual habits that never shows up in sprint metrics. Without defined phases and a way to tie AI activity to numbers leadership can act on, most of that adoption stays exactly where it started: scatter…
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