How do GitHub Copilot Agents actually work in practice?

[Juanessj1]

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I’ve seen the new GitHub Agents and the Copilot coding agent, but how do they really work day-to-day and what’s the best way to use them?

[ikrishanaa]

@Juanessj1

GitHub Copilot Agents, specifically @workspace, act as project-aware assistants within your IDE's chat. They analyze your entire codebase to provide contextually relevant solutions.

How they work in practice:

You invoke an agent like @workspace and describe a high-level task. The agent then analyzes the relevant files and provides a step-by-step implementation plan, suggests code modifications, and identifies which files to create or edit.
Primary day-to-day uses include:

• Feature Implementation: Scaffolding new features that touch multiple files.
• Code Analysis: Understanding a new codebase or refactoring existing logic.
• Complex Debugging: Tracing issues across different components or services.
• Test Generation: Creating unit tests that correctly mock project-specific dependencies.

Hands-on experimentation is the best way to see how it can be integrated into your personal workflow

[pandex7]

I'm trying to find out when you find it, can you like it and mark it as an answer so I can come back here?

[Juanessj1]

Yeah, the last answer of @ikrishanaa is almost correct.