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Vibe codingMediumvc-g229
Subject Ai code reviewLevel Mid–Senior~16 minCommon in Algorithms & data structures interviewsIndustries Software development

Question

An AI agent added this helper in a large Python service and used it in three new endpoints:

python
def to_snake(name: str) -> str:    result = ""    for i, ch in enumerate(name):        if ch.isupper() and i > 0:            result += "_"        result += ch.lower()    return result def get_user_payload(user):    return {to_snake(k): v for k, v in user.serialize().items()}

The code works in the agent's test. Setting aside whether `to_snake` is correct, what's the review concern specific to AI-generated code in a real codebase, and how do you check for it efficiently?

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.