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Claude/ChatGPT (or Copilot) Prompt to Get Context-Aware Code Suggestions

Front-load project context, patterns, and a style example so Copilot or Claude generates code that matches your actual codebase, not generic boilerplate.

Fill in the placeholders

Edit the values, then copy your finished prompt.

Your Prompt
prompt.txt
You are a senior engineer guiding an AI pair-programmer. Produce a context header that makes the assistant generate working code matching this codebase, not generic boilerplate.

Context:
- Project: Acme Billing Service
- Stack and pattern: TypeScript, Next.js 14, Prisma, Zod, tRPC, following Repository pattern with tRPC
- Task to implement: a typed createInvoice service with validation

Deliverables:
1. A comment header stating the project, stack, and the pattern to follow.
2. Key dependencies and any architectural constraints the assistant must respect.
3. The concrete task plus 2-3 explicit requirements (types, error handling, docs).
4. A short example of the desired output style so suggestions match house conventions.
5. An "Implementation:" line positioned so the assistant continues from real context.
6. A note on what to leave out so the assistant doesn't invent unrelated scaffolding.

Output: the ready-to-paste context header followed by the implementation stub.

What this prompt does

This template works by front-loading everything Copilot needs before it writes a single line: project name, language, framework, design pattern, and dependencies all appear as structured comments before the task description. Copilot's suggestion engine treats surrounding file context as a strong prior — the more specific that prior, the more constrained and accurate the completion.

The // Example of desired output style: block is the highest-leverage part. Copilot is a next-token predictor at its core. Showing it a concrete style sample — your naming conventions, indentation, error-handling approach — steers the completion away from its average training distribution and toward your actual codebase patterns. The explicit // Implementation: terminator signals where generation should begin, reducing the chance Copilot fills space with additional header comments instead of code.

When to use it

  • Generating a new service class that must match your repository's existing architecture (e.g., Repository pattern with dependency injection in Laravel)
  • Scaffolding framework-specific boilerplate where defaults would be wrong (e.g., Livewire component vs. plain PHP class)
  • Working across multiple languages in a monorepo where Copilot needs an explicit signal about which runtime context applies
  • Producing test stubs that match your project's assertion style and factory usage
  • Onboarding a new module where no sibling file exists yet to give Copilot implicit context

Example output

For a Laravel service class using the Repository pattern:

<?php

namespace App\Services;

use App\Repositories\Contracts\OrderRepositoryInterface;
use App\Models\Shop\Order;

class OrderFulfillmentService
{
    public function __construct(
        private readonly OrderRepositoryInterface $orders
    ) {}

    public function fulfill(int $orderId): Order
    {
        $order = $this->orders->findOrFail($orderId);
        $order->markFulfilled();
        $this->orders->save($order);
        return $order;
    }
}

Copilot inferred constructor injection, readonly properties, and the findOrFail + save pattern from the header context — none of which it would produce with a bare // Task: comment alone.

Pro tips

  • Be specific in [design_pattern]: write Repository + Service Layer not just MVC. Vague patterns produce vague code.
  • The [code_example] field should be 5-15 lines from your actual codebase, not invented. Copy-paste a real sibling method — Copilot matches style precisely.
  • List only the dependencies directly relevant to the task in [dependencies]. Adding the entire composer.json is noise; illuminate/database, spatie/laravel-medialibrary is signal.
  • Pair this with Copilot Chat's #file references for complex tasks — the header primes inline completions, while #file gives Chat deeper cross-file awareness.
  • For multi-file tasks, repeat the header in each new file rather than assuming Copilot carries context across buffers.

Frequently Asked Questions

Does the order of the comment fields matter, or can I rearrange them?
Order matters. Copilot reads top-down and weights earlier tokens more heavily when predicting completions. Keep Project and Language first so the runtime context is established before the task description. Moving the example block after `// Implementation:` defeats its purpose entirely — it would never be seen before generation starts.
What should I put in [code_example] if this is a brand-new project with no existing code?
Write the example yourself as if you were the author — 8-12 lines showing your preferred naming conventions, how you handle errors, and whether you use early returns or nested conditionals. This becomes the style contract for the session. It takes 2 minutes and the quality difference in suggestions is significant.
Does this work for languages other than PHP, or is it Laravel-specific?
The template is language-agnostic. The [language] and [framework] fields are precisely why it works across stacks. The same structure applies to TypeScript/Next.js routes, Python/FastAPI endpoints, and Go service handlers. The comment syntax (//) is valid for most C-family languages; for Python, swap to # in your actual file and Copilot adapts.
Engr Mejba Ahmed

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Engr Mejba Ahmed

AI Developer · Software Engineer

I'm Mejba — I design and ship production AI systems, automations, and full-stack apps. If you want this turned into a working solution for your team, let's talk.

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