Generate 3D models with Copilot & manage, store, and share them easily using echo3D.

posted 2 min read

How to Generate 3D Models with GitHub Copilot and Manage Them in echo3D

As 3D development accelerates across industries, developers need efficient ways to create, store, and share 3D models. Generative AI tools like GitHub Copilot are making it easier than ever to script 3D geometry, while platforms like echo3D provide the infrastructure to manage and deliver these assets at scale.

In this article, we’ll walk through how to:

  1. Use Copilot to generate a simple 3D model.
  2. Export the model in a standard format.
  3. Upload and manage the model in echo3D’s 3D asset manager.
  4. Deliver and share your 3D assets instantly across applications.

Step 1: Generate a 3D Model with GitHub Copilot

Copilot can help you generate starter code for 3D objects using frameworks like Three.js or Babylon.js. For example, prompting Copilot with:

...will generate boilerplate code for a cube, lighting, and animation loop. This gives you a fast starting point without needing to recall every API call.

From here, you can refine the object — change the geometry, apply textures, or expand into more complex shapes. Once satisfied, export the asset as a .glb or .gltf file, which are lightweight, interoperable formats supported by echo3D.

Step 2: Upload to echo3D

With your model ready, head over to your echo3D console
and upload the .glb file. echo3D automatically processes and optimizes 3D files for cloud storage and streaming.

This means you don’t have to worry about file size, compression, or multi-platform compatibility. echo3D handles that for you.

Step 3: Manage Assets in a 3D DAM

Unlike static file storage, echo3D acts as a digital asset management for 3D models
solution. From your dashboard, you can:

  • Store 3D models securely in the cloud.
  • Organize assets with metadata, tags, and permissions.
  • Preview models instantly without extra software.
  • Apply real-time updates across all connected apps.

This centralization saves time and keeps developers, designers, and stakeholders in sync.

Step 4: Deliver and Share 3D Assets

Once uploaded, echo3D provides a unique content delivery network (CDN) link for every asset. You can embed that link into web apps, mobile experiences, AR/VR projects, or game engines like Unity and Unreal.

That means your team can share 3D models
instantly — no zip files, no heavy downloads, no back-and-forth emails.

Developers can even take advantage of echo3D’s 3D asset manager
APIs to programmatically pull models into projects and update them dynamically.

Why This Workflow Matters

Combining Copilot for rapid prototyping with echo3D for scalable delivery bridges the gap between creation and deployment. Instead of treating 3D files like static assets, echo3D transforms them into flexible, cloud-based content you can push anywhere.

This approach is particularly powerful for:

  • Game developers who want faster iteration.
  • Product designers building AR/VR previews.
  • Retail and e-commerce teams delivering 3D product showcases.
  • Enterprises managing large-scale 3D pipelines.

Final Thoughts

Building 3D models with AI is exciting — but without a way to manage, distribute, and scale those assets, workflows quickly fall apart. echo3D gives enterprises the tools to store, organize, and deliver 3D content in a way that matches the speed of modern development.

If you’re ready to take your 3D pipeline to the next level, book a demo with echo3D
and see how you can simplify 3D asset management from creation to deployment.

If you read this far, tweet to the author to show them you care. Tweet a Thanks

Great breakdown of how Copilot and echo3D streamline 3D workflows. It’s interesting how this combo bridges coding and asset management so smoothly.

Thanks, Muzzamil! Using GenAI for 3D models is indeed very exciting, and coupling that with 3D digital asset management really unlocks new opportunities.

More Posts

Unlocking New Horizons: What GitHub Copilot Teaches Us About the Future of Code

Sunny - Oct 3

Most AI projects fail because companies try to boil the ocean instead of solving one simple problem.

Tom Smith - Sep 9

Using offline AI models for free in your Phyton scripts with Ollama

Andres Alvarez - Mar 5

5 Game-Changing AI Agents I’m Obsessed With (Can’t Work Without Them!)

Sourav Bandyopadhyay - Jun 25

Hunch's AI workspace automates developer tasks using multiple AI models, eliminating busywork and boosting productivity.

Tom Smith - Jun 3
chevron_left