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Vibe codingMediumvc-g014
Subject Ai code reviewLevel Mid–Senior~16 minCommon in Security · Databases & SQL interviewsIndustries Software development

Question

An AI assistant produced this Python Flask endpoint to search users by name. It runs and returns results in the happy path. What's wrong with it, what input breaks it, and how would you catch this class of bug on AI-generated code?

python
import sqlite3from flask import Flask, request, jsonify app = Flask(__name__) @app.route("/users/search")def search_users():    name = request.args.get("name", "")    conn = sqlite3.connect("app.db")    cur = conn.cursor()    query = "SELECT id, email FROM users WHERE name LIKE '%" + name + "%'"    rows = cur.execute(query).fetchall()    return jsonify([{"id": r[0], "email": r[1]} for r in rows])
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.