
Taking a vibe-coded MVP to production means hardening it: lock down auth and secrets, validate inputs, add rate limiting, set up monitoring and backups, load-test hot paths, and run a security review. The MVP proves the idea; hardening makes it safe and reliable for real users.
A vibe-coded MVP gets you to a working product fast — but "it works in the demo" and "it's ready for real users" are different bars. The gap between them is hardening. This checklist walks through taking a vibe-coded MVP to production in 2026 — covering security, performance, reliability, and the review steps that prevent a launch-day disaster.
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Hardening is the process of making software secure, reliable, and performant enough for real-world use. It addresses the edge cases, attacks, and load that a demo never sees.
An MVP optimizes for proving the idea; hardening optimizes for not breaking — or leaking — once real users arrive.
The table groups the essential checks by category. Treat none as optional for a customer-facing launch.
| Category | Checks | Why It Matters |
|---|---|---|
| Security | Auth, secrets, input validation | Prevents breaches & data leaks |
| Performance | Indexes, caching, query review | Holds up under real load |
| Reliability | Backups, rollbacks, error handling | Recover from failures fast |
| Monitoring | Logs, alerts, uptime checks | Catch issues before users do |
| Compliance | Privacy policy, data retention | Meet legal obligations |
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Hardening for scale means reviewing queries, adding indexes, and load-testing the paths real users hit hardest. A clean architecture scales; an unreviewed one breaks at the worst moment.
The realities of growth are detailed in our guide on whether AI-built apps can scale to 10k, 100k, and 1M users. And if you're still choosing tooling, ownership and extensibility matter — compare options in Greta vs Lovable vs Bolt vs v0.
Usually not. An MVP proves the idea but needs hardening — security, performance, monitoring — before real users rely on it.
Security: enforce auth, move secrets out of code, validate inputs, and run a security review before launch.
Load-test the hottest paths, review queries and indexes, and monitor performance under simulated traffic before launch.
Yes. Even small launches need logs, alerts, and uptime checks so you catch issues before users report them.
Yes. You can prompt an AI builder to add validation, rate limiting, and error handling — but still review the changes.
Ready to take your MVP live? Use this checklist, then harden and ship with confidence — Greta lets you own the code so you can review every step.
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See it in action

