My Vibe-Coded App Is Live —Now What? The Complete Post-Launch Checklist

Before you share the link with anyone, confirm five things: unauthenticated users are actually blocked from every protected page and API route, no API keys or secrets are visible in your shipped code, your database's Row-Level Security is enabled and scoped per-user rather than left on permissive scaffolding, basic error monitoring is running, and a real privacy policy and terms of service exist. None of these take more than an afternoon, and every one is cheap to fix now and expensive to fix after a real user has already been affected.

Verify authentication actually blocks unauthenticated access. Open your app in an incognito window, logged out, and try to reach every route directly by URL — dashboard pages, admin panels, settings screens, anything you assume is protected but has no visible link. AI builders are good at generating a login screen and redirecting normal navigation; they are less reliable at making sure every underlying API route also rejects an unauthenticated request. A page that requires login in the UI but whose backend endpoint answers anyone who calls it directly is not protected — it just has a lock on the front door with the back door left open. This is precisely the "broken access control" category the OWASP Top 10 has flagged for years as the most common serious web application flaw. Our guide to the seven hidden security risks in vibe-coded apps covers this pattern and six others in depth.

Check for exposed API keys and secrets. Open your live site, open browser DevTools, and check the Network tab (what is actually sent and returned) and the Sources tab (search the loaded JavaScript for key fragments like sk_, service_role, or your providers' names). Anything with elevated privileges — a payment processor's secret key, a database's service-role key, an admin-scoped token — has no business shipping to the browser; only publishable or anon-scoped keys belong in client-side code. AI builders commonly hardcode a working key during generation because it makes the demo run immediately, and whether that key stayed appropriately scoped is not something the tool checks for you.

Confirm database Row-Level Security is actually enabled and scoped. If your app runs on Supabase or a similar Postgres-backed platform, Row-Level Security is the single control standing between "each user sees only their own data" and "any authenticated request can read the entire table." In the dashboard, open the policies for every table holding user data and confirm RLS is actually turned on — not just a policy created while the table-level toggle stays off — and that each policy filters by the requesting user's identity rather than a blanket condition that's true for everyone. A quick way to catch a bad policy: query the table with a different test account's credentials and confirm you only get that account's rows back. Our Supabase Row-Level Security checklist for Lovable, Bolt, and Bubble apps has the full table-by-table walkthrough.

Set up basic error monitoring and publish real legal pages. Wire up an error-tracking tool such as Sentry — most have generous free tiers — so a broken flow surfaces as an alert, not silence followed eventually by a confused user email; this takes under an hour. Separately, if your app collects an email address, creates an account, tracks analytics, or processes a payment, you need both a privacy policy and terms of service, not as a formality but because most jurisdictions require it once you handle personal data, and payment processors and app stores generally decline to fully activate accounts without them. A generated starting template is fine for launch; have it reviewed by a lawyer once the app has real revenue or handles anything sensitive.

Walk the core flow end-to-end as a stranger would. Sit down with no prior context — or better, hand the app to someone who has never seen it — and have them complete the single most important action it exists for: signing up, booking, purchasing, submitting. Watch where they hesitate, where an error message is unhelpful, and where the flow silently breaks on an edge case you never personally hit because you always take the same path through your own app.

In the first week, your job shifts from "does it work" to "can I see when it doesn't." Add real analytics and event tracking, confirm database backups are actually running, put basic rate limiting on any public endpoint, test payment flows in live mode if you're monetized, spot-check mobile responsiveness on real devices, and set up uptime monitoring with alerts.

Analytics and event tracking. At minimum, track page views, sign-ups, and completion of your core value action — a purchase, a booking, a submission, whatever the app's central job is. Without this, your only signal that something is wrong is a user complaining, and for every user who complains there are usually several who simply leave without saying anything.

Confirm database backups are real. Check your database provider's dashboard and confirm automatic backups are enabled — many platforms ship new projects with backups off by default, or gate them behind a paid tier you may not have upgraded to yet. Then do the part almost nobody does: actually restore a backup to a test environment and confirm the data comes back intact. A backup that has never been restored from is a theory, not a safety net.

Rate limit public endpoints and test payments in live mode. Any endpoint reachable without authentication — a signup form, a public API, a search endpoint — should have basic rate limiting, or a single misbehaving script can hammer your database or run up a usage-based hosting bill. If you're monetized, also run at least one real transaction in Stripe live mode — a real card, a small amount refunded afterward — since test mode confirms your code runs but not that your live account, webhooks, and tax settings are configured correctly.

Spot-check mobile responsiveness and set up uptime monitoring. Load your app on an actual phone, not just a resized browser window, and check the core flow on both a small and a large screen — form inputs, modals, and data tables are common places where desktop-first generation quietly breaks on a real device. Then set up a free uptime monitor that pings your app every few minutes and alerts you the moment it goes down; without it, you find out your app is offline when a user tells you, which for a new app might be never — they just leave.

By the one-month mark, shift from "does it survive me" to "does it survive strangers at scale." Run a load test under realistic concurrent traffic, tighten SEO fundamentals if the app is public-facing, do an accessibility pass, stand up a real support channel, and make a deliberate decision about your ongoing maintenance plan rather than letting it happen by default.

Load and performance testing under realistic traffic. Clicking through your app alone tells you nothing about concurrency. Run a basic load test — free and low-cost tools can simulate dozens to hundreds of simultaneous users against your core flows — and watch database connection counts, API response times, and error rates as load increases. A common pattern in AI-generated code is queries that work fine at one-user scale and degrade sharply under concurrent load because of a missing index, an unpooled database connection, or an N+1 query the generator produced without flagging it as a scaling risk.

SEO basics and an accessibility pass, if the app is public-facing. Confirm every public page has a unique title tag and meta description, that a sitemap.xml is submitted to Google Search Console, and that pages are actually indexable — some AI-generated single-page apps render content only client-side, leaving crawlers an empty shell. Then run an automated accessibility scanner, manually tab through your core flow using only the keyboard, and spot-check color contrast on your primary buttons and text; missing image alt text and keyboard-unreachable interactive elements are the most common gaps we see.

Stand up a real support channel and decide on maintenance. Even a simple shared inbox is better than a support address nobody monitors — decide, in month 1, who answers user issues and how fast, because real users are hitting edge cases your own testing never found. The app that's live today is not the app that will be live in six months, so decide deliberately whether you're maintaining it yourself, keeping a freelancer on call, or moving to a structured retainer. Our app maintenance and support guide lays out what an ongoing plan should actually include.

Once the first month's fires are out, the job becomes recurring rather than one-time: dependency updates, recurring security reviews, cost monitoring on usage-based hosting, and a plan for the day you need a feature bigger than the vibe-coding tool comfortably handles.

Most vibe-coded apps hit a point — often between month two and month six — where the founder wants to add something the original architecture wasn't built to support cleanly: a second user role, a more complex permissions model, an integration the platform's abstractions fight. That's a technical-debt question worth diagnosing deliberately rather than guessing. Our framework for diagnosing technical debt covers cleanup versus rebuild, and our guide to finishing a vibe-coded app the right way covers the production-hardening a checklist alone can't replace. If growth is straining the platform itself, our MVP migration guide covers when and how to move off a no-code AI platform without a disruptive rewrite.

An app that works flawlessly every time you click through it and an app that's safe to hand to strangers with real data and real traffic are two different claims — and conflating them is the single biggest reason vibe-coded apps run into trouble after launch.

When you test your own app, you already know the happy path, you're logged in as yourself, you never enter malformed input on purpose, and you are the only person using it at that moment. None of that is true for a real user, and none of it is true at scale.

This gap shows up in a recurring shape. The founder builds the app in Lovable or Bolt.new, clicks through signup, dashboard, checkout — everything works — and reasonably concludes the app is done. What that testing cannot reveal: whether a different user's session can see your data because an RLS policy defaults to permissive, whether the API tolerates malformed input instead of crashing, whether ten simultaneous submissions corrupt a shared counter, or whether a session idle for six hours behaves correctly when the user returns. These aren't edge cases in the dismissive sense — real usage guarantees they'll happen, just not on the timeline you personally exercised while building.

This is the central distinction our vibe coding vs. professional development comparison explores further: professional process exists specifically to catch the gap between "works for the developer" and "works for everyone else," through code review, staging environments, and tests that exercise inputs no one person thinks to try by hand. Vibe coding tools collapse the time from idea to working demo; they don't, by themselves, collapse the time from demo to safe-at-scale. Closing that gap is what this checklist — and, when the stakes are high enough, a professional audit — is for.

The same handful of mistakes recur across nearly every vibe-coded app we're brought in to review after launch — and every one of them is preventable with the Day 0 and Week 1 checks above.

• Leaving Row-Level Security in its scaffolding state.: AI builders often generate a permissive "allow all" policy for frictionless development, and it's never tightened before launch because the app "worked" the whole time.
• Assuming the UI hiding something means it's protected.: A button not shown to a role is not the same as an endpoint that rejects that role's request.
• No backup verification.: Backups are enabled but never restored from, so a real emergency is the first time anyone learns whether they actually work.
• Treating test-mode payments as sufficient proof.: Live-mode configuration — webhooks, tax, currency — goes untested until a real payment silently fails.
• No error visibility.: The founder hears about a broken flow from a user's complaint, days after it started failing for everyone.
• Treating launch as a finish line, not a starting gate.: No one owns maintenance, dependency updates, or the next feature request, so it happens reactively instead of by design.

Use this table as a scannable summary of everything above — work through each row before moving to the next time horizon.

Get a professional audit before you accept real payments or store meaningful personal data at scale, before any fundraising or acquisition process where technical diligence will happen, if you can't confidently answer the Day 0 security questions above yourself, or simply when you want an expert second opinion before real users and real money are on the line.

This checklist catches a large share of the risk in a typical vibe-coded launch — but it can't catch what you don't know to look for, and it can't replace the tooling a security-focused review uses to test access controls the way an attacker actually would. A professional Vibe Code Health Check goes further: a full security scan of RLS policies and exposed secrets, an architecture and scalability review, a code-quality pass, and a prioritized fix roadmap with cost estimates — typically $1,500–$3,500, delivered in 3–5 business days. If the audit turns up critical issues, a focused Stabilization Sprint ($5,000–$15,000, 1–3 weeks) addresses them directly. Our complete 2026 pricing guide breaks down every tier, from a quick audit through a full production-readiness sprint and enterprise-scale migration.

Considering handing the whole app to a team to manage going forward instead of self-auditing at all? Our guide on hiring an agency to take over a vibe-coded app covers that process, timeline, and cost end to end — useful whether the deeper question is a quick health check or a full technical-debt cleanup.

Frenchy Digital's Vibe Code Health Check runs every item in this checklist — and a good deal more that only surfaces under real security testing — against your live Lovable, Bolt.new, Replit, or Cursor-built app, with a prioritized, cost-estimated roadmap at the end. We audit, stabilize, and take over vibe-coded apps for founders who shipped fast and now need a professional pass before real users and real money depend on the result.

Frenchy Digital is a mobile app and AI development company based in Los Angeles, with international teams in Geneva, Switzerland and Paris, France — the same team that builds new apps in Lovable also specializes in auditing and finishing apps other builders left behind, across security, performance, and production readiness.

Ready to know exactly where your app stands before real users find out for you? Schedule your free discovery call and we'll tell you honestly whether a quick Health Check or a deeper Stabilization Sprint is the right next step for your launch.