AI-assisted frontend testing is a contract, not a checkbox AI can make frontend testing feel easier. It can generate test cases, suggest edge states, explain mocking patterns, and help turn vague requirements into clearer assertions. That is useful. But it also creates a risk: teams may confuse more test code with more product confidence. In frontend engineering, especially in user-facing flows built with React, Next.js, and TypeScript, testing is not only about proving a component renders. It is about protecting trust at the exact moment a user depends on the interface. The happy path is rarely where trust breaks AI tools are usually good at producing obvious tests: renders the component submits the form shows a success message handles a basic error Those are a start, not the finish. The more important questions are usually closer to product risk: What happens if the API returns partial data? What happens if loading takes longer than expected? What happens if the user refreshes midway through a flow?…