Accessibility Checks in AI Generated Front Ends
Catch the accessibility problems in AI built interfaces before they lock people out
A taste of a lesson
The assistant made a dropdown menu from divs. It works with a mouse. What would you change?
First ask whether a native select element would do; it comes with keyboard support and screen reader behaviour for free. If you need a custom menu, the trigger should be a real button with an accessible name and an attribute showing whether the menu is expanded. Items need keyboard navigation with arrow keys, Escape to close, and focus returning to the button afterwards. Follow an established menu or listbox pattern rather than inventing one. Try tabbing to your dropdown now: can you open it and choose an option without the mouse?
Written by the teacher as an example. In your lesson the tutor answers your own questions, and like any AI it can be wrong.
What you will be able to do
- Recognise accessibility problems common in AI generated UI code
- Prefer native HTML elements and apply ARIA only following established patterns
- Run keyboard, automated, screen reader and zoom checks on key flows
- Prompt assistants and project files for accessible patterns from the start
Lesson plan
- 1 What generated UIs usually miss Know the accessibility gaps that appear most often in AI built interfaces. Start
- 2 Native elements first Fix most problems by using the right HTML elements. Start
- 3 The keyboard pass Test every interaction without a mouse. Start
- 4 Automated checks and their limits Use automated tools for what they catch and know what they miss. Start
- 5 Screen readers, zoom and motion Do quick checks that reveal how other users experience the interface. Start
- 6 Prompting for accessibility Get more accessible code from assistants from the start. Start
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About this tutor
For front end developers, designers who code and product teams shipping interfaces built with AI help. Generated components often look right but miss what assistive technology needs: real buttons instead of clickable divs, labels on form fields, focus handling in dialogs, keyboard navigation, colour contrast and meaningful alternative text. You will learn a review routine for AI generated UI code, quick manual tests with the keyboard and a screen reader, how to use automated checkers and their limits, and how to prompt assistants for accessible patterns from the start. Education focused, aligned with widely used accessibility guidelines.
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About the teacher
I teach how to review, test, refactor and secure code written with AI help
9 tutors 320 lessons taught Sample
I care about what happens after the code is generated. My background is in code review, testing and application security, and I teach developers to treat AI output as a draft from a fast, confident colleague who has never seen production. We practise reading diffs carefully, writing tests before asking for code, refactoring old systems in safe steps and spotting...
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