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Vibe codingMediumvc-g161
Subject Ai code reviewLevel Mid–Senior~16 minCommon in Algorithms & data structures interviewsIndustries Software development

Question

You asked an AI assistant to "create an S3 bucket for storing user-uploaded avatars served by the web app." It produced this Terraform. It plans clean and applies. Review it and explain what's wrong before it ships.

hcl
resource "aws_s3_bucket" "avatars" {  bucket = "acme-prod-avatars"} resource "aws_s3_bucket_public_access_block" "avatars" {  bucket                  = aws_s3_bucket.avatars.id  block_public_acls       = false  block_public_policy     = false  ignore_public_acls      = false  restrict_public_buckets = false} resource "aws_s3_bucket_policy" "avatars" {  bucket = aws_s3_bucket.avatars.id  policy = jsonencode({    Version = "2012-10-17"    Statement = [{      Effect    = "Allow"      Principal = "*"      Action    = "s3:GetObject"      Resource  = "${aws_s3_bucket.avatars.arn}/*"    }]  })}
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.