エージェント型ツール:Claude CodeとCopilot
コードを読み、書き、実行してくれるアシスタントを使います。
「エージェント型ツール:Claude CodeとCopilot」はCoddyKit上の無料Vibe Codingレッスンです。 これはレッスン2/4です。 下記で完全なレッスンを無料で読むことができます。その後、ブラウザ内の組み込みコードエディタと24時間対応のAIチューターでハンズオン演習できます。 これはVibe Coding学習パスの一部であり、ウェブとCoddyKitアプリ全体で進捗が同期されます。 Vibe Codingコースには全4レッスンが含まれています。
このレッスンの一部はまだ翻訳されておらず、英語で表示されています。
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.
よくある質問
「エージェント型ツール:Claude CodeとCopilot」レッスンは無料ですか?
はい。「エージェント型ツール:Claude CodeとCopilot」の完全なテキストはこのウェブで無料で読めます。インタラクティブに演習し(組み込みコードエディタと24時間対応のAIチューター)、Vibe Codingコースの残りをアンロックするには、CoddyKit PROにアップグレードしてください。 Vibe Codingコースには全4レッスンが含まれています。
「エージェント型ツール:Claude CodeとCopilot」で何を学びますか?
コードを読み、書き、実行してくれるアシスタントを使います。 ブラウザで直接実行するハンズオンコードでVibe Codingを演習し、24時間対応のAIチューターがレッスンを進める中での質問に答えます。
Vibe Codingを始めるのに経験は必要ですか?
事前経験は必要ありません。CoddyKitのVibe Codingは初級者から上級者向けに構成されているため、ここから始めるか最初から始めて、自分のペースで進むことができます。 これはレッスン2/4です。
「エージェント型ツール:Claude CodeとCopilot」レッスンにはどのくらい時間がかかりますか?
ほとんどのCoddyKitレッスンは約5~10分かかります。各レッスンはコンパクトでインタラクティブなので、着実に進歩し、ウェブとアプリ全体で正確に前回の場所から再開できます。
このVibe Codingレッスンでコードを書いて実行できますか?
はい。すべてのVibe Codingレッスンに組み込みコードエディタが含まれているため、ブラウザでリアルコードを書いて実行し、即座のAIフィードバックを取得できます。ローカル設定は不要です。
このコースのすべてのレッスン
- AIエディター:CursorとWindsurf
- エージェント型ツール:Claude CodeとCopilot
- アプリビルダー:v0、Bolt、Lovable
- 適切なツールを選ぶ