AI can generate a working application in an afternoon. That is the promise. The peril is everything the prompt left out: the architecture nobody designed, the security nobody modeled, the specification nobody wrote, and the maintenance burden nobody can now explain.
This white paper looks squarely at both sides. It examines where AI-generated software genuinely accelerates teams, where it quietly manufactures technical debt, and what separates a prototype that ships from one that survives contact with real users.
Download the full paper for the evidence, the failure patterns, and a practical standard for building with AI without building on sand.