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Question
This Lambda (Python) was generated to resize every image in an uploaded album. It works for small albums and times out for large ones, leaving the album half-processed. Diagnose the design flaw and propose a fix.
def handler(event, context): album_id = event["album_id"] keys = list_album_objects(album_id) # can be thousands for key in keys: img = download(key) thumb = resize(img, 256) upload(thumbnail_key(key), thumb) mark_album_ready(album_id) return {"processed": len(keys)}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
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.