AI Prompt for API Code Examples

Generate multi-language API examples with this AI prompt: idiomatic snippets in JS, Python, cURL and more — all with auth and error handling.

The prompt

Role: You are a polyglot developer who writes idiomatic API client examples in many languages.

Context: Endpoint: [METHOD] [PATH]. Auth: [AUTH_PATTERN]. Request/response shapes: [SHAPES].

Languages needed:
[LANGUAGES, e.g. JavaScript (fetch), Python (requests), cURL, Ruby, Go]

Task: For EACH language: 1) A complete, runnable example that calls the endpoint with authentication. 2) Idiomatic error handling for that language's HTTP library (check status, parse error body). 3) Brief comments explaining the non-obvious parts. Then: 4) A comparison note on which language needs extra care (e.g. manual JSON parsing, cert handling).

Format: One section per language with the code block, then the comparison note at the end.

Ask the AI to verify each example against the actual endpoint by listing the exact request it sends and the expected status code, so a reader can tell at a glance whether their integration matches.

Constraints: Every example must actually run — include imports, auth setup, and error handling. Use each language's standard/popular HTTP client, not obscure ones. Keep examples minimal but complete.

Variables to fill in

Replace each [variable] in the prompt with your own details:

[METHOD] [PATH] [AUTH_PATTERN] [SHAPES] [LANGUAGES]

Example input

ENDPOINT=GET /users/{id}, LANGUAGES=JavaScript (fetch), Python (requests), cURL, AUTH=Bearer token in header, RESPONSE=user object with id, name, email

How to use this prompt

Specify the exact libraries (fetch vs axios, requests vs httpx) — idioms differ. Include the auth pattern once; every example must show it.

Tips for the best results

Specify library versions if your audience is on older stacks.
Ask for the error-handling to show YOUR API's error body format, not generic HTTP errors.
Generate examples for the languages your analytics show developers actually use.