Question
You lead a data-platform team running large Python/SQL pipelines that feed both internal analytics and a regulated financial-reporting dataset. The team wants to delegate more pipeline work to agents to keep up with demand. Draw the policy: where do you let agents generate pipeline code freely, where do they assist under control, and where is agent generation forbidden — given that some of this data is in scope for an audit and some isn't? Defend the call most people would push back on.
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.