End-to-End AI Agent Workflow with Gemini CLI and Docker MCP Gateways Models

Attend this tech meetup featuring two comprehensive presentations on building and deploying AI agents in production environments. Explore end-to-end AI agent workflows with Google's Gemini CLI, where you'll master the role of a "Context Engineer" by learning to orchestrate complex tasks, manage agent memory, implement automated evaluations, and integrate agents into CI/CD pipelines for continuous deployment. Discover how to transform prototype agents into production-grade systems with essential lifecycle controls and callbacks. Delve into composing agents using Docker's Model Context Protocol (MCP) gateways and models, examining how Docker Compose enhancements streamline the development of model-powered applications. Learn to seamlessly transition from local development to cloud deployment while maintaining security through approved tools, secrets, and MCPs. Gain hands-on insights into building applications with various agent SDKs while integrating content from MCP server catalogs and local models, providing you with practical knowledge for developing sophisticated AI agent systems.