The first draft is no longer the hardest part
AI can help produce component scaffolding, explore a layout and explain unfamiliar code. The difficult part often arrives after that draft: connecting it to real data, choosing a state model and making every transition understandable.
A page that looks convincing in a screenshot may fail when the text is longer, a request times out or the visitor uses a keyboard. I think the useful shift is from producing isolated screens to specifying the behavior around them. The prompt should describe the experience, and the review should test that experience.
State is still the foundation
React’s “Thinking in React” guide starts from component boundaries and identifying the minimal state needed for the interface. That remains a useful discipline with generated code. If loading, error and success flags can contradict each other, the visual polish will not rescue the flow.
Take an AI result panel. It needs an idle introduction, a pending state, a stopped state, a usable result and a retryable failure. A new request should clear the old result deliberately. A late response from a cancelled request should not replace the current screen. These details need a model of the interaction, not just more JSX.
Primary sourceDesign the failure before the glow
A good interface tells someone what happened and what they can do next. Keep their input available after a failure. Use meaningful labels and avoid hiding the only retry action in a tooltip. Distinguish a backend outage from invalid input where that distinction helps the user.
For long-running AI work, present a calm pending state. Do not fabricate progress percentages or imply access to private model reasoning. When the result arrives, motion can guide attention to it. It should not make the answer harder to read or force the user to wait for a decorative sequence.
Read the diagram as text
Design the failure before the glow — A good interface tells someone what happened and what they can do next. Keep their input available after a failure. Use meaningful labels and avoid hiding the only retry action in a tooltip. Distinguish a backend outage from invalid input where that distinction helps the user.
Accessibility belongs in the definition of done
The W3C’s WCAG guidance gives concrete criteria for keyboard access, contrast, text alternatives and other aspects of usable interfaces. AI-generated markup still needs these checks. A button drawn as a styled div does not become accessible because it looks good.
Test focus order, dropdown keyboard behavior, readable error messages and small-screen overflow. Respect reduced-motion preferences and give visitors a way to pause ambient motion. Diagram text alternatives should explain the actual flow, not simply say “diagram.” Automated tools help identify problems, but interacting with the page remains essential.
Primary sourceUse the saved time to inspect the product
Ask an assistant to propose alternatives or explain a component, then verify the result in context. Review what dependencies it added and whether it introduced duplicated state or unnecessary client-side work. Prefer a small understandable implementation over a clever one you cannot maintain.
Frontend work is changing because drafts arrive faster. That makes product judgment, interaction design and verification more valuable in the daily loop. The best outcome is not a larger pile of generated components; it is an interface that behaves well for the person using it.
The sources behind the ideas.
Research and primary documentation for the factual points above. Examples and recommendations are my interpretation.
