When AI Gets Accessibility Wrong: Why Developers Still Need Manual Testing

AI tools are quickly becoming a staple in modern development workflows. They generate snippets, scaffold entire components, and even offer “accessibility tips” on demand. But there’s a catch: much of what AI produces in this space is incomplete, outdated, or wrong, because accessibility simply doesn’t have the same depth of training data as mainstream technologies like JavaScript or React. That imbalance leads to hallucinations and half-correct patterns that look plausible but fail in real use.

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