Study Finds Auth, Access Rules and Webhooks Are Top AI App Launch Failures

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A structured analysis of 4,469 public builder posts identified 59 verified cases in the past year where AI-powered apps broke at or after launch. The most common failure points were user authentication flows, hand-written row-level security rules, file storage, and payment webhooks. Sign-in issues ranged from broken email links and misconfigured cookies to token refresh race conditions that logged paying users out mid-session. Access control failures were particularly severe, with misconfigured or missing row-level security policies allowing users to read or modify other customers' data. Researchers recommend testing full auth flows on production domains, enforcing deny-by-default database policies, and logging detailed failure reasons rather than generic error codes.

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ProgrammingDEV Community ·

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