AI-assisted software engineering is becoming part of software development on a daily basis. AI tools are used now for code creation, writing tests, reviewing changes, troubleshooting, documentation creation, and architecture and design decisions. But most teams still use AI largely in an ad hoc fashion. Every developer writes prompts differently, gives different levels of context, and expects different outputs. As a result, the quality of AI-generated results can be very different even for the same engineering task.