Production-readiness reviews for AI-built apps.
Your AI-assisted app may look ready because the demo works. SaferCode checks whether it is safe, maintainable, resilient, and polished enough for real customers.
01 Built with Cursor, Lovable, Bolt, v0, Claude Code, Supabase, Stripe, Firebase, or AI APIs.
02 Best for apps moving from prototype, demo, or beta into customer-facing production.
03 Covers security, architecture, UX, deployment, performance, observability, and launch sequencing.
What SaferCode checks
This is not a generic scanner report. We review the product, codebase, deployment setup, and user experience together so you know what can safely ship and what needs work first.
Security and auth
Supabase RLS, Firebase rules, API access, secrets, payments, webhooks, session handling, and AI-specific abuse paths.
Architecture
Database design, frontend/backend boundaries, service layers, state management, validation, and scaling risks.
UX and product polish
Onboarding, mobile behavior, empty states, loading states, error recovery, accessibility, and trust signals.
Code quality
Duplicated AI-generated logic, brittle components, missing types, inconsistent validation, and unsafe abstractions.
Deployment readiness
Vercel or Netlify setup, environment separation, logging, monitoring, rollback path, domains, and email/payment config.
Launch roadmap
A ranked list of what blocks launch, what can wait, and what should be fixed in the next sprint.
What you get back
A practical launch roadmap, not a wall of vague observations. Findings are prioritized by business risk, security impact, and implementation effort.
- Prioritized launch-blocker report
Clear severity ratings and a practical explanation of why each issue matters to users, revenue, security, or maintainability.
- File-level recommendations
Exact routes, components, API handlers, policies, and deployment settings to inspect or change.
- Remediation roadmap
A sequenced plan separating must-fix-before-launch work from follow-up hardening and product polish.
- Optional fix sprint
If you want implementation support, SaferCode can turn the review into a focused refactor and launch sprint.
Common questions
What is an AI app production readiness review?
It is a senior engineering review of an AI-built app before launch, covering security, architecture, UX, code quality, deployment setup, and launch risks.
Is this only for security?
No. Security is one part of the review. SaferCode also checks maintainability, product UX, deployment setup, observability, and whether the app can survive real users.
How fast is the review?
Most reviews are delivered in 24 to 72 hours depending on codebase size and complexity.
Ready to find the launch blockers?
Send your repo and staging URL. SaferCode will review the risks that matter before real users, customers, or investors touch the product.
Get reviewed