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Contoh Few-Shot

Tunjukkan kepada kecerdasan buatan gaya dan bentuk yang Anda inginkan.

Contoh Few-Shot adalah pelajaran Vibe Coding gratis di CoddyKit. Ini adalah pelajaran 2 dari 4. Kamu bisa membaca pelajaran lengkapnya di bawah secara gratis — lalu praktikkan langsung di browser dengan editor kode bawaan dan tutor AI 24/7. Ini adalah bagian dari jalur belajar Vibe Coding, dan progresmu tersinkronisasi di web dan aplikasi CoddyKit. Kursus Vibe Coding mencakup 4 pelajaran total.

Bagian dari pelajaran ini belum diterjemahkan dan ditampilkan dalam bahasa Inggris.

Show, Don't Just Tell

Describing the code you want with words works — but showing an example works even better. This technique is called few-shot prompting: you give the AI one or more examples of input and the matching output, then ask it to follow the same pattern.

It's the difference between explaining a recipe and handing someone a finished dish to copy. Examples remove guesswork and lock in your exact style.

Zero-Shot vs Few-Shot

Zero-shot = you ask with no examples. Few-shot = you include a couple of examples first.

  • Zero-shot: "Write a function that turns a title into a URL slug."
  • Few-shot: same request, plus 2 examples of titles and the exact slugs you expect.

Few-shot wins whenever the format matters and is hard to describe in words. You teach by demonstration.

Your First Few-Shot Prompt

The pattern is simple: list a few input → output pairs, then leave the last one open for the AI to complete.

Here we teach the AI exactly how our slugs should look. It now knows: lowercase, spaces become dashes, punctuation dropped — without us writing a single rule.

Turn each title into a URL slug, following these examples:

Title: "Hello World!"  -> hello-world
Title: "My First App"  -> my-first-app
Title: "10 Tips & Tricks" -> 10-tips-tricks

Title: "Vibe Coding 101" ->

Examples Teach Style

Few-shot isn't only for data formats — it's how you transfer coding style. Show the AI one function written your way, and it will match your naming, comments and structure on the next one.

This is gold in a real project: paste an existing function as the example, then ask for a new one "in the same style." The AI matches your codebase instead of inventing its own conventions.

Here is how I write functions in this project:

// Returns the average of a list of numbers
function averageOf(numbers) {
  const total = numbers.reduce((sum, n) => sum + n, 0);
  return total / numbers.length;
}

Write a function maxOf(numbers) in exactly this style.

See the Matching Output

When you give a clean example like the one before, the AI returns code that fits right in. Here's the kind of result that prompt produces — same comment style, same naming, same shape.

Run it to confirm the pattern holds.

// Returns the largest number in a list
function maxOf(numbers) {
  return numbers.reduce((biggest, n) => (n > biggest ? n : biggest), numbers[0]);
}

console.log(maxOf([3, 9, 2, 7]));
console.log(maxOf([-5, -1, -10]));

How Many Examples?

You rarely need many. A few rules of thumb:

  • 1 example — when the pattern is mostly clear and you just want to pin the style.
  • 2–3 examples — when the format has edge cases (punctuation, numbers, special words).
  • Add an edge case on purpose so the AI learns how to handle the tricky input, not just the easy one.

More than 3 rarely helps and just makes the prompt long.

Format phone numbers like these examples (note the edge case with extra digits):

"1234567890" -> (123) 456-7890
"5551234567" -> (555) 123-4567
"12345"      -> invalid number

"9998887777" ->

Cover the Edge Cases

The trick that separates good few-shot prompts from great ones: include the weird input. If you only show happy-path examples, the AI assumes inputs are always clean — and your app crashes on the first odd one.

By showing an invalid or empty example and the response you want, you teach error handling by demonstration. No long explanation needed.

Convert each price string to a number. Handle bad input as shown:

"$19.99" -> 19.99
"$0"     -> 0
"free"   -> null
""       -> null

"$120.50" ->

Few-Shot for Tone and Text

Examples aren't only for code logic — they shape any text the AI writes. Building an app with messages, button labels, or error text? Show two examples in your voice and the AI matches it.

This keeps your whole product consistent: friendly, terse, professional — whatever you demonstrate.

Write friendly, short error messages in this style:

Problem: empty email field -> "Oops! We need your email to continue."
Problem: password too short  -> "Almost there — make your password a bit longer."

Problem: file too large ->

Examples Inside Real Tools

Few-shot works everywhere you prompt:

  • Cursor / Claude Code: paste an existing function as the example, ask for a sibling function "in the same style."
  • v0 / Lovable: describe a component, then say "like this card" and paste a sample to copy.
  • Copilot: write one example function above, and its autocomplete mimics your pattern for the next one.

The AI is a pattern-matcher — give it the pattern.

// @cursor: here is our standard API helper, follow this exact shape
async function getUser(id) {
  const res = await fetch(`/api/users/${id}`);
  if (!res.ok) return null;
  return res.json();
}

// Now write getOrder(id) in the same style.

When Examples Backfire

Few-shot is strong, so be careful:

  • A buggy example teaches the bug — the AI copies your mistake.
  • Inconsistent examples confuse it: if your two slugs follow different rules, output is random.
  • Examples that are too narrow make it overfit and fail on anything new.

Rule: your examples must be correct, consistent, and cover the range of inputs you expect.

Combine With Roles and Constraints

The most reliable prompts stack everything you've learned: a role, a few constraints, and one or two examples. Role sets the skill, constraints set the rules, examples set the exact shape.

That combination is how builders get code they can paste and ship — instead of rolling the dice on each request.

ROLE: Senior JS engineer.
CONSTRAINTS: vanilla JS, return only the function.
EXAMPLE:
  isEven(4) -> true
  isEven(7) -> false
TASK: Write isPositive(n) following the same simple style as isEven.

Quick Check

You're using few-shot prompting to format dates, but the AI keeps breaking on empty input. What's the best fix?

Recap: Teach by Example

Few-shot prompting is one of your sharpest tools:

  • Show input → output pairs and let the AI complete the pattern.
  • Examples transfer format, style, and tone better than words.
  • Include edge cases so the AI learns error handling.
  • Keep examples correct and consistent — bugs and contradictions get copied.
  • Stack with roles + constraints for the most reliable output.

Next: breaking big features into small, promptable steps.

Pertanyaan yang Sering Diajukan

Apakah pelajaran “Contoh Few-Shot” gratis?

Ya — teks lengkap “Contoh Few-Shot” gratis dibaca di sini di web. Untuk praktiknya secara interaktif (editor kode bawaan dan tutor AI 24/7) dan buka sisa kursus Vibe Coding, upgrade ke CoddyKit PRO. Kursus Vibe Coding mencakup 4 pelajaran total.

Apa yang akan aku pelajari di “Contoh Few-Shot”?

Tunjukkan kepada kecerdasan buatan gaya dan bentuk yang Anda inginkan. Kamu berlatih Vibe Coding dengan kode praktik yang langsung kamu jalankan di browser, dan tutor AI 24/7 menjawab pertanyaanmu saat kamu mengerjakan pelajaran ini.

Apakah aku perlu pengalaman untuk memulai Vibe Coding?

Tidak diperlukan pengalaman sebelumnya. Vibe Coding di CoddyKit dirancang untuk pemula hingga pelajar tingkat lanjut, jadi kamu bisa memulai di sini atau dari awal dan belajar sesuai kecepatan kamu sendiri. Ini adalah pelajaran 2 dari 4.

Berapa lama pelajaran “Contoh Few-Shot” memakan waktu?

Sebagian besar pelajaran CoddyKit memakan waktu sekitar 5–10 menit. Setiap pelajaran ringkas dan interaktif, jadi kamu membuat kemajuan stabil dan melanjutkan dari tempat kamu tinggalkan di web dan aplikasi.

Bisakah aku menulis dan menjalankan kode dalam pelajaran Vibe Coding ini?

Ya. Setiap pelajaran Vibe Coding menyertakan editor kode bawaan, jadi kamu menulis dan menjalankan kode nyata langsung di browser dan mendapatkan umpan balik AI instan — tidak diperlukan penyiapan lokal.

Semua pelajaran dalam kursus ini

  1. Peran dan Batasan
  2. Contoh Few-Shot
  3. Memecah Tugas Besar Menjadi Langkah-Langkah
  4. Menentukan Teknologi dan Gaya
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