Question
You're the staff engineer doing a sampling audit of agent contributions across your Java services after noticing a rise in silent production failures. This retry helper, generated by an agent and copy-pasted into several services, is a representative sample:
public <T> T withRetries(Callable<T> task, int maxAttempts) { for (int i = 0; i < maxAttempts; i++) { try { return task.call(); } catch (Exception e) { log.debug("attempt {} failed", i); } } return null;}What's wrong here, and given it's already spread across services, how do you run the audit and remediation as a leadership task rather than a one-off fix?
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.