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Vibe codingMediumvc-g491
Subject Ai code reviewLevel Mid–Senior~16 minCommon in Algorithms & data structures interviewsIndustries Software development

Question

An AI assistant generated this Django REST view to render an order-history page. It works in dev with a handful of seeded orders, but the staging team reports the endpoint times out under a customer with 800 orders. Identify the problem and how you'd catch it.

python
def order_history(request):    orders = Order.objects.filter(customer=request.user)    data = []    for order in orders:        data.append({            "id": order.id,            "total": order.total,            "shipping_city": order.address.city,   # FK            "item_count": order.items.count(),       # reverse FK            "carrier": order.shipment.carrier_name,  # FK        })    return JsonResponse({"orders": data})
What a strong answer looks like

Treat the AI’s output as a draft to verify, not an answer to trust. Name the specific flaw and the input that triggers it, say how you’d catch it — tests, edge cases, reading critically — and how you’d re-prompt or decompose to get it right.

Learn the concepts
Describe your solution

Vibe coding: describe the solution in plain language (or narrate it) and the coach grades your approach. Generating runnable code from your description is coming next.

Run or narrate your approach, then ask the coach.