All about GitHub Copilot Spaces

In today’s fast-paced development landscape, teams rely on generative AI tools to boost productivity and streamline workflows. However, these tools often struggle to deliver truly relevant answers when faced with unique codebases, scattered documentation, or organization-specific knowledge. That’s where GitHub Copilot Spaces comes in—offering a new way to bring your team’s context directly into Copilot, so every suggestion and answer is tailored to your real-world needs.

GitHub Copilot Spaces solves the problem of generative AI making assumptions by allowing you to provide the exact context Copilot should use—such as code, documentation, transcripts, sample queries, and more—in a reusable “space.” After creating a space on github.com, Copilot’s chat and command features on the GitHub platform will use this curated knowledge, delivering responses that feel like they come from your organization’s own experts. IDE integration for Spaces is planned for the future.

Why Context Is the New Bottleneck for AI‑Assisted Development

Large language models (LLMs) excel at recognizing patterns, but real-world engineering is filled with exceptions and unique scenarios that don’t fit standard molds. Developers often encounter challenges such as:

• Navigating a monorepo that combines modern React code with legacy jQuery

• Searching for critical organizational knowledge hidden in Slack threads or internal wikis

• Following security guidelines that are specific to your company and differ from open-source documentation

Without access to this specific context, AI assistants are forced to make educated guesses—sometimes missing the mark. GitHub Copilot Spaces addresses this by letting you select the files, documents, or free-text notes that matter most, and bundle them into a dedicated space. Copilot then uses this curated context to provide more accurate answers and generate code that fits your environment.

As Kelly Henckel, Product Manager for GitHub Spaces, shared in our GitHub Checkout episode: “Spaces make it easy to organize and share context, so Copilot acts like a subject matter expert.” The result is fewer incorrect suggestions, less time spent copying and pasting, and code that’s ready to commit.

Let’s dive more into the Copilot Spaces

Let’s have a quick overview on working with the Copilot Spaces

1. Navigate to github.com/copilot/spaces and click Create new space.

   

2. Name your space properly, like Awsome-frontend

3. Add a description so other contributors can be aware do’s and don’ts.

   

4. Attach context and select the model you wanna work with:

   

   

5. Hit Enter and let the Copilot do the magic.

   

   

6. Pull the code to the VS code if you wish so:

   

7. Let’s test our code and app made by the prompt:

   

   Collaboration that feels native to GitHub

   Spaces respect the same permission model you already use:

   • Personal spaces: visible only to you unless shared

   • Organization‑owned spaces: use repo or team permissions to gate access

   • Read‑only vs. edit‑capable: let SMEs maintain the canon while everyone else consumes

Sharing is as simple as sending the space URL or pinning it to a repo README. Anyone with access and a Copilot license can start chatting instantly.

So now what are you waiting for?

Go ahead and start copiloting straight through in your browser and building your application natively over the web browser.