Question
An engineer used an AI agent to generate a Python script that pushes BGP route-policy changes across a carrier's edge routers to mitigate a routing leak. The agent's diff looks correct and includes a confident explanation of each route-map. Network-wide misconfiguration here can black-hole traffic for millions of subscribers. The on-call wants to run it now to stop the leak. How do you handle the tension between urgency and the risk of AI-generated network changes?
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.