How Product Teams Are Changing in the Age of AI
summary
Claim: AI writes code better than any human but fails to know application specifics so context drives architecture. Conference clips show teams running hands-on workshops to map where tooling fits product workflows, surface which prompts and linters get reused, and decide which generated components are safe to ship. Outcome is concrete: tighter Product–Design–Engineering handoffs, documented guardrails for model outputs, and pilot features that run in production with monitored rollback paths.
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