How can an AI coding assistant compare a design with the approved V1 scope?

How can an AI coding assistant compare a design with the approved V1 scope?

An AI coding assistant can compare a design with V1 scope by mapping visible interface elements to approved requirements. The purpose is to distinguish what the first release must implement from what a design merely suggests.

Build a screen-to-requirement inventory

Provide the current PRD, scope decisions, and readable design references. Ask the assistant to list the navigation items, cards, buttons, forms, and displayed metrics. For each element, identify the requirement that authorizes it and the user role that can access it.

A wedding dashboard might show events, tasks, invitations, budgets, and vendor payments. If V1 includes only events and tasks, the other modules need an explicit product decision before implementation begins.

Check behavior behind the visible controls

A design can hide substantial scope inside a small element. An “Invite team” button implies delivery, access control, expiration, and membership behavior. A task counter needs a definition of which tasks are included.

Ask the assistant to identify missing interaction states and data dependencies as well as obvious extra screens. Separate confirmed mismatches from questions that require clarification. It should not treat every design detail as permission to invent a backend capability.

Record the resolution and implement it consistently

Create a concise list of elements to implement, defer, or adjust. If a future module remains visible, use wording and interaction that accurately communicate its availability. Apply the same decision to navigation, buttons, and related routes.

Review the running result against the agreed inventory. The comparison is complete when every visible promise corresponds to supported behavior or a deliberate, understandable future-state message. Keep the scope record with the feature so later agents do not reintroduce removed assumptions.