Agentic AI is increasingly used in development workflows, yet many teams struggle to move beyond isolated prompts into systems that work consistently across real projects.

This session focuses on workflow design patterns for integrating AI into planning, coding, and review without over-automation. Rather than teaching how to build agents or frameworks, the talk examines how teams define clear workflows that specify where AI contributes, where it stops, and where human judgment is required.

Attendees will learn how to move from ad hoc prompt usage to structured, human-in-the-loop workflows by making implicit work explicit, setting decision boundaries, and aligning AI outputs with team goals and delivery constraints.

This session is intended for developers, tech leads, and managers who already use AI tools and want practical guidance on making AI-assisted workflows reliable, repeatable, and usable across teams.