AI prompts for web developers that get the component right the first time
Front-end AI output looks convincing and breaks quietly — inaccessible markup, an effect that re-runs forever, a layout that collapses on mobile. The fix is the same as everywhere else in engineering: name the framework and version, describe the exact behaviour and constraints, and ask for accessibility and edge cases up front. These templates are built around real web tasks so you get production-ready code, not a starting point you have to harden by hand.
Last updated · By the Prompt Orange team
Top prompts for web developers
1. Build a reusable component
“Make me a modal component”
Too vague—AI has to guess what you want
“Build an accessible Modal component in React 19 with TypeScript and Tailwind. Requirements: opens/closes via an `open` prop and `onClose` callback, traps focus while open, closes on Escape and on backdrop click (but not when clicking inside), restores focus to the trigger on close, locks body scroll, and uses correct ARIA roles (dialog, aria-modal, labelledby). Include a usage example. No external modal library.”
Specific, clear, ready to use
2. Debug a front-end issue
“My useEffect keeps running”
Too vague—AI has to guess what you want
“My React component re-fetches data in an infinite loop. The useEffect depends on an `options` object that I define inside the component body. Explain in plain English why this causes the loop, then give me the three standard fixes (useMemo on the object, move it outside the component, depend on primitive values) with the tradeoffs of each, and tell me which to use if `options` depends on props.”
Specific, clear, ready to use
3. Improve accessibility
“Make my page accessible”
Too vague—AI has to guess what you want
“Audit the following HTML for WCAG 2.2 AA accessibility issues — only accessibility, not styling. Check for: missing alt text, non-semantic clickable divs, form inputs without labels, insufficient colour contrast (flag pairs to test), missing focus states, and heading-order skips. For each issue, quote the element, explain the impact for screen-reader or keyboard users, and show the corrected markup.”
Specific, clear, ready to use
4. Diagnose a performance problem
“Make my site faster”
Too vague—AI has to guess what you want
“My Next.js (App Router) page has a Largest Contentful Paint of 4.1s on mobile. Give me a prioritised checklist of the highest-impact causes for a content-heavy page — unoptimised images, render-blocking fonts, oversized JS bundle, no caching, client components that could be server components — and for each, the specific Next.js feature or code change that fixes it and roughly how much LCP it tends to recover. Start with the cheapest high-impact win.”
Specific, clear, ready to use
5. Write front-end tests
“Write tests for this component”
Too vague—AI has to guess what you want
“Write React Testing Library tests for a LoginForm component (email + password fields, a submit button, an onSubmit prop, and an error message that appears when submit fails). Cover: renders both fields and the button, shows a validation message when email is empty, calls onSubmit with the entered values, disables the button while submitting, and displays the error message on failure. Query by accessible role/label, not test IDs. Use descriptive test names.”
Specific, clear, ready to use