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Seena Khan
Seena Khan

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Edit and manage agents in Visual Studio

To edit and manage agents in Visual Studio, you use GitHub Copilot Agent Mode, which allows you to direct AI to perform tasks, make code edits, run commands, and iterate until goals are met. This mode is available in Visual Studio 2022 (v17.14 or later) and provides a structured way to configure, approve, and refine agent behavior.


Key Concepts of Agent Mode in Visual Studio

  • Agent Mode vs Ask Mode:
    • Ask Mode → Single response to a prompt.
    • Agent Mode → Autonomous, iterative execution until the task is complete.
  • Capabilities:
    • Makes code edits across your solution.
    • Runs terminal commands.
    • Invokes tools and applies changes.
    • Monitors outcomes (build results, test failures, tool outputs).
  • Context Awareness: Copilot determines relevant files, projects, and dependencies automatically.

Prerequisites

  • Visual Studio 2022 v17.14 or later.
  • GitHub Copilot subscription.
  • Project setup with source control (GitHub recommended).
  • Tool approval settings configured to allow Copilot to run commands safely.

Steps to Edit Agents in Visual Studio

1. Enable Agent Mode

  • Open Visual Studio → Go to Extensions > Manage Extensions.
  • Install or update GitHub Copilot extension.
  • In Tools > Options > GitHub Copilot, enable Agent Mode.

2. Start Agent Mode

  • Open your project/solution.
  • Press Ctrl+I (default shortcut) or use the Copilot Agent Mode panel.
  • Enter a natural language prompt (e.g., “Refactor this class to use dependency injection”).

3. Manage Agent Actions

  • Copilot generates a plan: lists steps it will take.
  • You can approve or reject tool usage (e.g., running tests, editing files).
  • Copilot executes edits, runs builds, and iterates until successful.

4. Edit Agent Behavior

  • Refine prompts: Adjust instructions to be more specific.
  • Approve/deny actions: Control what Copilot can do (e.g., limit file changes).
  • Monitor outputs: Review build logs, test results, and code diffs.
  • Rollback changes: Use Git to revert if needed.

5. Save and Reuse

  • Document successful prompts in your team’s CoE (Center of Excellence).
  • Create reusable prompt templates for common tasks (e.g., bug fixes, code cleanup).

Example Workflow

Step Action Outcome
1 Prompt: “Add logging to all API controllers” Copilot scans solution
2 Agent proposes edits You approve tool usage
3 Copilot modifies files Adds logging code
4 Runs build/tests Confirms no failures
5 Iterates if needed Refines until success

Risks & Best Practices

  • Risk of unwanted edits → Always review diffs before committing.
  • Security concerns → Limit tool approvals to safe commands.
  • Best practice → Use in a sandbox branch before merging to main.

Conclusion: Editing agents in Visual Studio via Copilot Agent Mode is a powerful way to automate coding tasks. By enabling agent mode, approving actions, and refining prompts, developers can let Copilot handle iterative edits while maintaining control and oversight. This ensures productivity gains without sacrificing code quality or security.

Hope you enjoy the session.

Please leave a comment below if you have any further questions.

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