A comprehensive field guide examining the four failure categories of AI-built applications: security gaps, scalability limits, error handling deficiencies, and adaptability constraints that determine whether your MVP is production-ready.

A production readiness score grades your app across six pillars—functionality, reliability, security, performance, observability, and maintainability—so you can trade the vague feeling that the app works for one honest number and a ranked list of what to fix before launch.

What separates a production-ready app from a working demo? Six pillars across runtime integrity and change integrity — and why hardening a vibe-coded MVP beats a rewrite.

A five-stage productionizing pipeline — ingest, diagnose, fix, harden, and deploy — carries a working vibe-coded app the last twenty percent of the way to production without a rewrite, a full build team, or shipping it unhardened.

A working prototype and a production-ready app are different products. See what separates a demo that works from a product you can sell, and what to fix first: data protection, reliability, correctness, and maintainability.

A single missing line of code is the difference between a login that protects your users and one that quietly hands an attacker a pre-authenticated key while the legitimate user watches a welcome screen load.