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Production Readiness Audit: From Prototype to Real Users

A practical production readiness audit framework for teams shipping with Vercel, Supabase and AI coding tools — covering architecture, security, data and observability.

2026-07-05 · 8 min read

Why prototypes fail in production

Anyone can ship a demo now. Production is still engineering. After 13+ years building systems across LATAM and globally, PATMOS sees the same pattern: the interface exists, the concept is validated, but the system was never designed for real users, real data or real failure modes.

A production readiness audit is a structured review that identifies the gap between prototype and operation — before traffic, revenue or compliance force the issue.

What a production readiness audit covers

Architecture: boundaries, tenancy, state management and failure isolation. Data model: schema design, migrations, backups and recovery. Security: authentication, RLS policies, secrets and API exposure.

Performance: caching, query plans, cold starts and bundle size. Observability: logging, metrics, alerting and incident response. Scalability and cost: what breaks at 10x users and 10x data.

When to run an audit

Run an audit when you are moving from AI-assisted prototyping to production, before a fundraising milestone, after a security review flag, or when Supabase RLS was added late and never verified under real roles.

PATMOS delivers a prioritized roadmap — not a generic checklist — scoped to your stack and operation.