Copilot breaks loose from its deep integration with VSCode, and now embraces the CLI Warriors in offering a terminal-based interface too. At last Copilot gets its own CLI version, bringing it up to par with competitors like Gemini CLI or Claude Code CLI.
If you’ve never used GitHub Copilot before, in essence you can use it like ChatGPT and chat with it. When the context is clear, Copilot provides direct and relevant answers. When it isn’t, Copilot guides you by asking follow-up questions to ensure clarity and precision.
This leads to increased Productivity since there’s less back-and-forth and more focused respon…
Copilot breaks loose from its deep integration with VSCode, and now embraces the CLI Warriors in offering a terminal-based interface too. At last Copilot gets its own CLI version, bringing it up to par with competitors like Gemini CLI or Claude Code CLI.
If you’ve never used GitHub Copilot before, in essence you can use it like ChatGPT and chat with it. When the context is clear, Copilot provides direct and relevant answers. When it isn’t, Copilot guides you by asking follow-up questions to ensure clarity and precision.
This leads to increased Productivity since there’s less back-and-forth and more focused responses so that developers can move faster through their workflows.
Enhancing the developer’s workflow is of course the most desired aspect in coding. As such the new CLI version flawlessly integrates into it; it has access to the full spectrum of your codebase or repository, it accepts instructions, edits files, runs commands and connects to MCP servers.
Initially it defaults to Claude Sonnet 4 but if that LLM foundation model doesn’t fit your needs then you can change it. You can discover new Models by going through the Github Marketplace where you can explore their capabilities and compatibility.
Other than that, you also get:
- Terminal-native development Work with Copilot coding agent directly in your command line — no context switching required.
- GitHub integration out of the box Access your repositories, issues, and pull requests using natural language, all authenticated with your existing GitHub account.
- Agentic capabilities Build, edit, debug, and refactor code with an AI collaborator that can plan and execute complex tasks.
- MCP-powered extensibility Take advantage of the fact that the coding agent ships with GitHub’s MCP server by default and supports custom MCP servers to extend capabilities.
- Full control Preview every action before execution — nothing happens without your explicit approval.
If that wasn’t enough, Copilot Spaces comes along to strengthen the experience. As already mentioned, Copilot’s makes relevant suggestions based on context, so the better the context, the better the suggestions. On that front, as they say, Context Engineering is the new king. And GitHub Copilot Spaces does just that; it creates a space where you bundle the exact context Copilot should have access to. That space can be comprised of code, documentation, transcripts, sample queries, slack issues etc.d
As the official statement states:
A space is like pinning your team’s collective brain to the Copilot sidebar and letting everyone query it in plain language.
which amongst enabling many useful actions, it can also become invaluable when onboarding new developers by giving them instant access to curated project knowledge.
Spaces goes hands in hands with the Copilot CLI through the remote GitHub MCP server. Either way, they can be used separately or together. The latter makes for a powerful development experience.
More Information
GitHub Copilot CLI (Public Preview)
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