shiftmag.dev
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As AI systems begin building large portions of product features autonomously, traditional handoff-heavy workflows are breaking down. The author describes how tools like Claude Code and agent loops can take a project from ideas to a near-complete prototype far faster than manual specs and handoffs, prompting a rethink of team roles. In this new model, product managers become intent architects, engineers guard architecture and complex logic, designers review dynamic output, and QA focuses on self-healing systems. This shift implies that success in product work will increasingly depend on orchestrating AI workflows rather than managing checklists.
