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Vibe Coding · 课时

智能代理工具:Claude Code 与 Copilot

让助手为您读取、编写和运行代码

智能代理工具:Claude Code 与 Copilot 是 CoddyKit 上的免费 Vibe Coding 课时。 这是第 2 节课,共 4 节。 你可以在下方免费阅读本课时的完整内容 — 然后在浏览器中使用内置代码编辑器和全天候 AI 导师进行实践。 这是 Vibe Coding 学习路径的一部分,你的进度在网页和 CoddyKit 应用中同步。 Vibe Coding 课程共包含 4 节课。

本课时的部分内容尚未翻译,以英文显示。

Beyond Autocomplete

Some AI tools don't just suggest code — they act. They read your files, write new ones, run commands, and check the results, all from a single instruction.

These are agentic tools. The two you'll hear about most are Claude Code and GitHub Copilot. Think of them as a teammate you can delegate whole tasks to.

What 'Agentic' Means

A normal assistant answers a question. An agent takes a goal and works toward it in multiple steps — reading, writing, running, and adjusting.

Tell an agent 'add a contact form to my site' and it will find the right file, write the form, wire up the button, and tell you what it changed. You supervise; it does the legwork.

Claude Code: The Terminal Agent

Claude Code is Anthropic's agent that runs in your terminal (and inside editors too). You type a request in plain English, and it explores your project, edits files, and can run commands like installing packages or starting your app.

It's powerful because it works across many files at once and explains each step as it goes.

In Claude Code you might type:

"Add a dark mode toggle to my web app. Update the HTML, CSS and JavaScript so clicking it switches between light and dark themes."

Letting Claude Code Run Things

The magic of an agent is that it can run code and read the output. If your app errors, Claude Code can run it, see the error, and fix it — looping until it works.

For safety, it asks before doing anything important, like deleting files or running commands. You approve each risky step.

"Run my project, and if there are any errors in the console, fix them and run it again until it works."

GitHub Copilot

GitHub Copilot started as smart autocomplete — it suggests the next line as you type. It has since grown a chat and an agent mode that can make multi-file changes too.

It's built right into editors like VS Code, so the suggestions appear inline as faint 'ghost text' you accept with a key press.

Copilot's Ghost Text

As you type a comment or a function name, Copilot guesses the rest. You'll see grey suggested text — press Tab to accept it.

This is great for momentum: write a clear comment describing what you want, and let Copilot fill in the code below it.

// add two numbers and return the result
function add(a, b) {
  return a + b;
}

console.log(add(3, 4));

Comment-Driven Building

A neat trick with Copilot: write your intent as a comment first, then let the AI implement it. Your comments become a kind of prompt.

Clear comments lead to clear code — vague ones lead to guesses. The clearer you describe the goal, the better the suggestion.

// show a friendly greeting based on the time of day
function greeting(hour) {
  if (hour < 12) return "Good morning!";
  if (hour < 18) return "Good afternoon!";
  return "Good evening!";
}

console.log(greeting(9));

Claude Code vs Copilot

Both are agentic, but they shine in different moments:

  • Claude Code — best for big, multi-step tasks and running/fixing code end-to-end. Strong reasoning, terminal-native.
  • Copilot — best for fast inline suggestions while you're already typing in your editor.

Many builders use both: Copilot for flow, Claude Code for the heavy lifting.

The Supervise-and-Approve Loop

With agents you're the manager, not the typist. The healthy loop looks like this:

  • Describe the goal clearly.
  • Let the agent plan and act.
  • Read what it changed (the diff).
  • Approve, or ask for a fix.

You stay responsible for the result — the agent just moves fast.

Writing Good Instructions

Agents reward clear, complete instructions. Tell them the goal, any constraints, and how you'll know it worked.

A strong agent instruction reads almost like a small task ticket — specific enough that there's only one reasonable way to do it.

"Create a new file called todo.html with a simple to-do list: an input box, an 'Add' button, and a list below it. Adding an item should clear the input. Use only plain HTML, CSS and JavaScript in one file."

When to Reach for an Agent

Use an agent when a task is bigger than a single line:

  • Building a feature that spans several files.
  • Fixing an error you can't figure out.
  • Setting up or running a project.
  • Refactoring or renaming across the codebase.

For tiny inline tweaks, plain autocomplete is often enough.

Quick Check

What makes a tool like Claude Code 'agentic' rather than just an autocomplete?

Recap: Delegating to Agents

Agentic tools turn you into a manager of code:

  • Claude Code runs in the terminal, handles multi-step tasks, and can run/fix code.
  • Copilot gives fast inline suggestions and has an agent mode too.
  • Write clear instructions; review every diff; approve risky steps.

Next: browser-based app builders like v0, Bolt and Lovable that go from prompt to running app instantly.

常见问题解答

「智能代理工具:Claude Code 与 Copilot」课时是免费的吗?

是的 — 「智能代理工具:Claude Code 与 Copilot」的完整文本可在网页上免费阅读。要进行交互式练习(内置代码编辑器和全天候 AI 导师)并解锁 Vibe Coding 课程的其余内容,请升级到 CoddyKit PRO。 Vibe Coding 课程共包含 4 节课。

「智能代理工具:Claude Code 与 Copilot」这节课中我会学到什么?

让助手为您读取、编写和运行代码 你通过在浏览器中直接运行的动手代码来练习 Vibe Coding,全天候 AI 导师会在你学习这节课的过程中回答你的问题。

学习 Vibe Coding 需要有经验吗?

无需任何先前经验。CoddyKit 上的 Vibe Coding 课程适合初学者到高级学习者,你可以从这里开始或从头开始,按照自己的节奏学习。 这是第 2 节课,共 4 节。

「智能代理工具:Claude Code 与 Copilot」课时需要多长时间?

大多数 CoddyKit 课程大约需要 5–10 分钟。每节课都很精短且互动,所以你能稳步进步,并在网页和应用中从离开的地方继续。

我能在这节 Vibe Coding 课中编写并运行代码吗?

能。每节 Vibe Coding 课都包含内置代码编辑器,你可以在浏览器中直接编写并运行真实代码,并获得即时 AI 反馈 — 无需本地设置。

此课程中的所有课时

  1. 人工智能编辑器:Cursor 与 Windsurf
  2. 智能代理工具:Claude Code 与 Copilot
  3. 应用构建器:v0、Bolt 与 Lovable
  4. 选择合适的工具
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