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Building Agentic Workflows with MCP (AI Engineering that Delivers)
Abstract
Agentic thinking is transforming software development—shifting us from linear scripts to dynamic, self-directed workflows. Unlike talks that focus on the invisible infrastructure of MCP, this session digs into the behavioral patterns and workflow logic you need to build, ship, and operate real AI agents.
Key Takeaways:
- Orchestration Patterns: Design multi-step, decision-making logic that scales reliably.
- MCP in Action: Live examples of workflow implementations—from definition to deployment.
- From Mistakes to Mastery: Hard-earned production lessons on debugging, performance, and edge-case handling.
Speaker
Sterling Chin
Developer Advocate @Postman
Sterling Chin has been a driving force behind numerous Postman initiatives from inception to launch, including Postbot, Postman’s AI Assistant, as well asthe GA releases of Postman Flows, gRPC, and GraphQL. As a long time proponent of AI/ML, he has been instrumental in the adoption, development, and integration of AI at Postman. As the newest member of the Developer Advocacy group at Postman, he’s excited to share his decades of experience.
Session Sponsored By
Postman is a single platform for collaborative API development. Speed up your team’s API development, ship high quality APIs, and scale effortlessly.
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