Yes, a non-developer can build and operate a narrow production app with AI, managed services, and disciplined testing. But “production” means real users, real data, failures, maintenance, and accountability. AI can reduce implementation effort; it cannot accept legal, security, or operational responsibility for you.
Choose a low-risk scope with a clear rollback path. Write acceptance criteria for the main journey, invalid input, access control, data deletion, backups, and service outages. Prefer well-documented components over custom infrastructure. Keep secrets outside the repository, use separate development and production environments, and require the agent to show migrations, configuration changes, tests, and deployment steps. Arrange qualified review for authentication, payments, regulated data, high-value transactions, or anything whose failure could harm users.
Your readiness test is simple: can someone other than the agent explain the architecture, restore the service, revoke access, diagnose a failed request, and roll back a release? If not, the app still has comprehension and operational debt even when the demo works.
Launch to a small audience, monitor real outcomes, and keep a written incident path. You may not need a full-time developer for every product, but you do need access to technical judgment when risk rises. Treat that review capacity as part of the production system, not an optional final polish.
