๐๐ ๐๐๐ถ๐น๐ฑ๐ ๐ฌ๐ผ๐๐ฟ ๐จ๐ ๐๐๐ ๐ช๐ถ๐น๐น ๐๐ ๐ ๐ฎ๐ถ๐ป๐๐ฎ๐ถ๐ป ๐๐?
AI is able to build a UI in minutes. It looks finished. This is a trap. Engineering decisions must come first.
Will your team maintain this code in six months? AI code looks good at first. Review it and it looks strange.
Common signs:
- Duplicated components.
- Bad spacing.
- Weak error states.
- Hard coded colors.
Stop using bad prompts. Do not ask for a beautiful dashboard.
Use better prompts. Tell AI to use your existing components. Use semantic HTML. Include loading and error states. Keep state local.
AI needs boundaries. A screen is not a component.
A component needs these states:
- Loading.
- Empty.
- Error.
- Success.
If the UI only shows the happy path, it is not ready for production.
Define a contract first. This prevents random fetches and hidden assumptions.
AI invents colors. Stop it. Force it to use your design tokens. Consistency is maintainability.
Include accessibility at the start. Use semantic HTML. Use keyboard focus. Use labels.
Use this review checklist:
- Use existing tokens.
- Handle error states.
- Use semantic markup.
- Use explicit props.
- Human readable logic.
AI helps with first drafts and test scaffolding. It fails at architecture and long term ownership.
Speed helps. Judgment matters. A maintainable product is better than a fast draft.
Source: https://www.syncfusion.com/blogs/post/frontend-development-trends Source: https://risingstars.js.org/2025/en Source: https://stackoverflow.blog/2026/03/16/domain-expertise-still-wanted-the-latest-trends-in-ai/
Optional learning community: https://dev.to/johnnylemonny/ai-can-build-your-ui-but-can-it-maintain-it-d2l