Vibe codingMediumvc-g183

Subject Ai code reviewLevel Mid–Senior~18 minCommon in Concurrency interviewsIndustries Software development

Question

You asked an AI to speed up a Python script that enriches 50,000 users by calling an internal API and writing to Postgres. It parallelized with asyncio like this. Review the resource behavior.

python

1async def enrich_all(user_ids):2    async def enrich(uid):3        conn = await pool.acquire()4        data = await http.get(f"/profile/{uid}")5        await conn.execute("UPDATE users SET data=$1 WHERE id=$2", data, uid)6        await pool.release(conn)7        return uid8    return await asyncio.gather(*[enrich(u) for u in user_ids])

It works for 100 users but falls over on the full set. Why, and how do you fix it?

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.

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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.