Use GitHub Copilot to Write API Code Examples

What This Does

GitHub Copilot suggests working code examples as you write documentation in VS Code — so you can generate accurate curl commands, Python snippets, and JavaScript examples without needing developer-level coding skills.

Before You Start

• VS Code installed on your computer
• GitHub Copilot extension installed (search "GitHub Copilot" in VS Code Extensions panel)
• Active Copilot subscription ($10/month individual, or free via GitHub Education/certain orgs)
• API reference or OpenAPI spec for the endpoint you're documenting

Steps

1. Open your documentation file in VS Code

Open the .md or .rst file where you're writing the API documentation. Copilot works in any file type, including Markdown.

What you should see: Your documentation file open, with the Copilot icon visible in the bottom status bar (looks like a small GitHub logo).

2. Write a descriptive comment

Move your cursor to where you want the code example to appear. Type a comment describing exactly what the example should do:

<!-- Example: Create a new user via POST /users, include authentication header and error handling -->

Or in a code block:

# Create a new user via the Users API
# Include: Authorization header, request body with name and email, error handling for 400/401 responses

What you should see: As you finish typing, Copilot may suggest code immediately (shown in light gray text).

3. Accept or refine the suggestion

Press Tab to accept the suggestion. If the suggestion doesn't appear automatically, press Ctrl+Enter (Windows) or Cmd+Enter (Mac) to open the Copilot completions panel and see multiple options.

What you should see: A working code snippet inserted into your documentation. It will be syntactically correct but may need endpoint URL and parameter updates.

4. Verify against the actual API

Test the generated code against your actual API. If you have an API key or sandbox environment, run the snippet. Update the endpoint URL, parameter names, and response fields to match your real API spec.

Troubleshooting: If Copilot generates code for the wrong language, add a language hint to your comment: "Write this as a bash curl command" or "Write this in Python using the requests library."

5. Add to your documentation

Once verified, format the code example in a proper code block in your Markdown file with the appropriate language tag:

```bash
curl -X POST https://api.example.com/users \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"name": "Jane Doe", "email": "jane@example.com"}'
```

Real Example

Scenario: You're documenting the "Create Webhook" endpoint and need examples in curl, Python, and JavaScript for developer docs.

What you type: Three separate comments:

# curl example: Create webhook, POST to /webhooks, with event_type and target_url params
# Python example: same endpoint using requests library with error handling
# JavaScript example: same endpoint using fetch API with async/await

What you get: Three working code examples that you can test and lightly edit for your specific API's parameter names and auth format.

Tips

• Always test generated code before publishing — Copilot doesn't know your specific API endpoints or auth requirements
• Include the HTTP method, endpoint path, and required parameters in your comment for more accurate suggestions
• For complex authentication flows (OAuth, multi-step), describe each step separately rather than asking for the whole flow at once
• If the API has an OpenAPI spec, keep it open in a second VS Code tab — Copilot can use nearby file context to make better suggestions

Tool interfaces change — if a button has moved, look for similar AI/magic/smart options in the same menu area.