Question
Greenfield Python (FastAPI) service with an AI agent: users upload images and the service generates resized thumbnails (multiple sizes) and stores them in object storage. Describe the build plan: the processing library and where processing runs, input validation, resource limits, and acceptance criteria. What does a careless 'resize uploaded images to thumbnails' prompt get wrong with untrusted user uploads?
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.
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.