# Building Interactive Canvas Experiences with GitHub Copilot

Transform your workflow with AI-powered visual workspaces.

- **Source:** [The GitHub Blog](https://brifing.si/source/9783c41a-41dd-45e0-8c71-c0930937342d)
- **Published:** 2026-07-21
- **Topic:** [Software & Engineering](https://brifing.si/c/engineering)
- **Original article:** <https://github.blog/ai-and-ml/github-copilot/how-to-build-interactive-experiences-with-canvases/>
- **On Brifing:** https://brifing.si/s/99457098-ce93-459f-889f-ac72359eec25

## Beyond Traditional Chat Interfaces

GitHub Copilot's canvas feature allows you to go beyond text-based interactions when working with AI. It provides dynamic workspaces for visualizing complex information, understanding project structures, and collaborating within teams. This approach offers significant convenience especially for technical teams.

## Canvas Creation Process

Starting with the /create-canvas command, developers can define the interface they need through a simple prompt. The system creates an interactive workspace matching this description. Various formats like codebase diagrams or issue management dashboards can be generated as canvases.

## Real-Time Collaboration

Created canvases can be edited simultaneously by both developers and AI assistants. The workspace updates dynamically through clicks, drags, and other interactions. This feature particularly enhances productivity for remote teams.

## Practical Use Cases

Examples shared in the article include applications like issue triage interfaces, interactive code diagrams, and prompt improvement coaches. Each canvas is designed to solve specific developer needs, making workflows more visual and enjoyable.

## Multi-Platform Integration

Canvases aren't limited to GitHub data. They pull information from different sources like Slack, Teams, emails, and documents to provide a holistic workspace. This feature significantly speeds up information access and prevents context loss.

## The Future Developer Experience

Canvas technology represents a significant step in the evolution of AI-assisted development tools. Going beyond chat-based interactions, this approach offering visual and interactive workspaces has the potential to revolutionize software development processes.

## Sources covering this story

- https://github.blog/ai-and-ml/github-copilot/how-to-build-interactive-experiences-with-canvases/ — 

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_Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._