0
Answer

How Are You Using AI Coding Agents (Claude Code, Copilot, etc.)

I have recently started using Claude Code to handle parts of my day-to-day .NET development — generating boilerplate, reviewing pull requests, and creating task-specific "subagents" for repetitive work like code review or test generation.

So far I've experimented with:

  • The built-in /agents command to spin up specialized subagents

  • Manually writing agent config files for more control over behavior

  • Letting it auto-delegate parts of a refactor to the right subagent

I'm curious how other .NET developers are actually using AI coding agents (Claude Code, GitHub Copilot, or similar) in real projects, not just demos.

  • Have you set up custom agents for specific .NET tasks — EF Core migrations, unit test generation, code review, etc.?

  • Do you prefer one general-purpose agent, or several narrow, specialized ones?

  • Do you let an agent make direct code changes in a larger codebase, or do you keep it strictly to suggestions you review first?

Would love to hear what's genuinely working for people day-to-day.