In today’s tech landscape, agile teams have evolved with the rise of AI agents, shifting their focus from traditional engineering roles to specifying AI functionalities. This transition means team members now act primarily as product managers, determining what the AI should achieve rather than writing code. However, maintaining regular meetings, setting clear objectives, and segmenting tasks remains essential for team cohesion. The crucial distinction is that tasks are now assigned to AI agents, each specializing in various roles, instead of human developers. This change also expands the scope of agile stories—critical components of agile development that define the expected features for users. By clearly outlining these stories, teams can effectively guide the AI in implementing desired functionalities, ultimately enhancing productivity and innovation in software development. Embracing agentic engineering transforms the agile methodology, fostering a collaborative environment where human insight and AI capabilities work harmoniously.
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