Code Room
Vibe codingMediumvc-g041
Subject Ai code reviewLevel Mid–Senior~15 minCommon in Algorithms & data structures interviewsIndustries Software development, Technology

Question

You asked an AI agent for a Python helper that reads the first line of each file in a directory and returns a dict of filename to header, for an ETL job processing thousands of CSVs. It produced:

python
import os def read_headers(directory):    headers = {}    for name in os.listdir(directory):        f = open(os.path.join(directory, name))        headers[name] = f.readline().strip()    return headers

It works on a folder of 5 files. What breaks at ETL scale, and what else is wrong?

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.

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.