AI copilots are tempting, but they need governance. They should never make final decisions without human oversight.
Rules I follow
- Every prompt is versioned and stored in a repo (or a shared prompt book).
- When a copilot suggests code, a developer reviews it before merging.
- We track usage costs and tie them to value (time saved, faster review, better ideas). If the cost creeps up, we rework the prompt or pause the pilot.
When they shine
- Writing unit tests that follow API contracts.
- Generating documentation drafts based on existing comments.
- Drafting release plans or QA steps.
AI copilots become real teammates when we treat them like tools: transparent, controlled, and regularly evaluated."}{