From Prototype to Production: Build Better Agents with IBM Bob

In this session, you will follow an incident management case study built with IBM Bob. A live demo will show specialized agents triaging an incident, assessing business impact, planning a resolution, invoking tools, and coordinating decisions through a supervisor. You will see how human approval protects critical actions and how distributed tracing makes agent behavior, tool calls, latency, and failures visible.

We will also demonstrates how IBM Bob uses a concise project context file to understand architecture, follow team conventions, generate consistent code, and avoid inventing APIs that do not exist. Along the way, we will examine where agent workflows commonly break, how to choose between sequential, parallel, and supervisor based coordination, and how to control context and token usage without sacrificing quality.

Key Learnings 1. Design reliable workflows involving multiple specialized AI agents. 2. Select sequential, parallel, or supervisor coordination for each use case. 3. Apply human approval and tracing to make agent decisions safer and observable. 4. Use IBM Bob with concise project context to produce consistent, governed code.

You will leave with reusable design patterns, practical governance tips, and a clear path for turning an agent prototype into a system that operations teams can understand, test, and trust