Code Room
Vibe codingMediumvc-g606
Subject Ai iterationLevel Mid–Senior~18 minCommon in Algorithms & data structures interviewsIndustries Software development

Question

You asked an agent to add caching to an expensive API call in your Java service. Its first attempt cached with no expiry (stale data); you said 'add a TTL'; its second attempt added a TTL but caches per-request inside the request scope, so the cache never actually survives between calls. Each fix addresses your literal words but misses the intent. How do you re-steer, and when do you stop?

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.

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.