Design smarter AI workflows with visual orchestration, token optimization and extensible agent capabilities.

Session Introduction
AI agents are working across larger codebases and increasingly complex systems, making visual orchestration and efficient context management essential for modern development.

In this session, you’ll explore how to design smarter, token-optimized AI workflows using Canvases in the GitHub Copilot app, context engineering, and extensible agent capabilities. Through practical demonstrations, you’ll see how developers can coordinate multi-agent work, manage context more effectively, and move beyond linear chat prompts to visual agent orchestration.

You Will Learn
• How to use Canvases in the GitHub Copilot app as a visual workspace for complex, multi-agent development
• How token budgeting, prompt caching, and context trimming can improve workflow efficiency
• How to extend agent workflows with Agent Plugins and Model Context Protocol (MCP)
• Best practices for moving from one-shot prompting to collaborative agent orchestration

Technologies Used
• GitHub Copilot harnesses including CLI, app, and Visual Studio Code
• Agent Plugins and Model Context Protocol (MCP)
• Token optimization and context engineering

Who Should Attend
• Developers building agentic workflows across complex codebases
• Engineers looking to improve AI workflow efficiency and context management
• Teams extending GitHub Copilot with reusable agent capabilities
• Anyone interested in visual, multi-agent development experiences