Production Readiness
The measurable state of an application being safe to expose to real users, covering security, reliability, performance, observability, and completeness.
What is production readiness?
Production readiness is the answer to the question "can I put this in front of real users without embarrassing myself or losing data?" It is not one thing, it is a portfolio of checks across eight dimensions.
The 8 dimensions
FinishKit measures production readiness across:
- Security: auth, authorization, secrets, injection, CSRF, CORS
- Error handling: boundaries, fallbacks, user-facing error states
- Logging and observability: structured logs, error reporting, health checks
- Environment configuration: secrets management, per-env variables, build-time leakage
- Database: row level security, connection pooling, migrations, rate limiting
- Performance: bundle size, caching, Core Web Vitals, load testing
- Deployment: CI/CD, rollback, dependency pinning, preview environments
- Completeness: placeholder copy, dead code, default branding, mock data in prod
Why AI-built apps fail it
AI coding tools optimize for "does the happy path work?" because that is what their benchmarks measure. Production readiness is the inverse: it asks what happens when the happy path fails, when a user tries something unexpected, or when traffic scales.
Across 100 vibe-coded apps FinishKit scanned:
- 78% had no error boundaries
- 72% had no test files
- 31% exposed secrets to the client
- 89% had no rate limiting
- 85% were missing security headers
How to measure it
Run a FinishKit scan to get a 0 to 100 production readiness score plus a prioritized fix plan.