Failed messages silently dropped
This SQS batch Lambda (Python) processes up to 10 messages per invocation. The AI wrapped each message in try/except so one failure doesn't kill the batch. QA reports that failed messages silently disappear instead of retrying. What's the flaw?
Implement
collect_batch_item_failures(message_ids: list[str], succeeded: list[bool]) → list[str]Examples
in
[["m1","m2","m3"],[true,false,true]]out["m2"]in
[["m1","m2"],[true,true]]out[]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.
0:00 of about 20 min
Vibe & agentic: describe the solution in plain language (or narrate it) and the coach grades your approach.
Which questions mattered is sealed until you submit. Telling you now would just be handing over the edge cases.
Run or narrate your approach, then ask the coach.