The Vibe Coding Production Checklist: 17 Things to Audit Before Real Users

You spent three hours prompting Claude. The app looks gorgeous. It even handles payments. You're ready to ship.

Hold up.

A recent industry analysis¹ found that 63% of developers spend more time debugging AI-generated code than writing it manually. Even more sobering: $1.5 trillion in technical debt is expected to accumulate by 2027 from vibe-coded projects, and only 32.5% of developers feel confident deploying AI-built apps to production.

That gorgeous app? It might have exposed API keys, missing auth checks, and database queries that fall over at 10 concurrent users. You just can't see it yet.

This is the "vibe coding hangover" - what happens when the AI does the fun part (building) and you inherit the hard part (keeping it alive). One Reddit user put it bluntly: "You can't vibe code your way out of technical debt. At some point, someone has to actually understand the codebase… and that somebody is you."

Here's a 17-point checklist to audit any vibe-coded project before real users touch it.

The 17-Point Production Checklist

1. Environment Variables and Secrets

What to check:.env files aren't committed to Git, API keys aren't hardcoded in source, and secrets are rotated from any defaults the AI used.

Run git log --all --full-history --.env* to see if secrets were ever committed. AI agents routinely paste API keys directly into config files. Stripe's own engineering team² ships 1,300+ PRs per week with AI agents - they have secrets rotation automated. You probably don't.

2. Authentication Flow

What to check: Password reset works, sessions expire, routes behind auth actually require auth.

AI-generated auth is "cosmetically secure" - it looks right but often misses edge cases. Test: copy an authenticated URL, open it in an incognito window. Does it redirect to login? If not, your "protected" routes aren't protected.

3. Row Level Security (RLS)

What to check: Database queries enforce user-level permissions.

If you're using Supabase³ - which most vibe-coded projects do - RLS policies are the difference between "users see their data" and "users see everyone's data". Verify with the Supabase MCP: claude mcp add --transport http supabase https://mcp.supabase.com/mcp.

4. Input Validation

What to check: Every user input is validated on the server, not just the client.

AI-generated forms usually have client-side validation (pretty error messages) but skip server-side checks. Open your browser's DevTools, disable JavaScript, and submit a form with garbage data. If it accepts nonsense, you have a problem.

5. Rate Limiting

What to check: API endpoints have rate limits to prevent abuse.

Without rate limiting, a single malicious script can DDoS your app or brute-force your login. Research from Solidmatics⁴ found that vibe-coded apps accumulate security flaws 2.74x faster than traditionally written ones.

6. Error Handling

What to check: Users see friendly errors; you see detailed logs.

AI agents often forget error boundaries. Test every user flow by intentionally breaking things - disconnect WiFi during a form submission, enter a duplicate email, try to pay with a declined card. Stack traces exposed to users are a security risk.

7. Database Backups

What to check: Automated backups exist and you've tested restoring from one.

If your hosting platform (Vercel, Railway, Render) doesn't include database backups, set them up now. One DROP TABLE - whether from a bug or a bad migration - and your product is gone.

8. Performance Budget

What to check: First contentful paint under 1.5s, API responses under 200ms.

Use PageSpeed Insights⁵ and your browser's Network tab. AI-generated code tends toward over-fetching - requesting way more data than the UI needs. Add database indexes on frequently queried columns.

9. Responsive Design

What to check: The app works on mobile, tablet, and desktop without horizontal scrolling.

Shrink your browser to 375px width. If anything breaks, fix it before launch. 63% of vibe coding users are non-developers⁶, many of whom never test mobile - which is where 60%+ of your traffic will come from.

10. Accessibility

What to check: Images have alt text, color contrast meets WCAG AA, keyboard navigation works.

Run axe DevTools⁷ in your browser. It's free and catches 80% of accessibility issues in minutes. Accessibility isn't just ethics - it affects SEO and legal compliance.

11. GDPR / Privacy Compliance

What to check: You have a privacy policy, cookie consent if needed, and a data deletion mechanism.

The EU's GDPR applies to you even if you're a solo founder in another country. AI tools don't configure privacy compliance automatically. Generate a privacy policy with a service like Termly⁸ - don't skip this.

12. Monitoring and Alerts

What to check: You know within 5 minutes when your app is down.

Free options: UptimeRobot⁹ (checks every 5 minutes), Vercel's built-in analytics if you're deployed there. Paid: PostHog¹⁰ has an MCP server for analytics integration. Without monitoring, users find your downtime before you do.

13. Logging

What to check: Errors are logged somewhere you can review them.

Console.log statements are not logging. Use a service like LogRocket¹¹, Sentry¹², or even just structured logging to a file you can tail. When a user reports "it doesn't work," logs are your only evidence.

14. Payment Flow Testing

What to check: The complete payment cycle works - checkout, webhook, receipt, refund path.

Use Stripe's test mode with card number 4242 4242 4242 4242. Test the failure path with 4000 0000 0000 0002 (declined). Verify webhooks actually fire and update your database. Stripe Projects CLI¹³ can provision your payment stack via agent commands.

15. Data Migrations

What to check: Migrations are reversible and tested against production-like data.

AI agents write forward migrations. They almost never write rollback migrations. Before deploying a migration that alters data, make sure you can undo it. Test migrations on a copy of your production database, not on an empty local one.

16. Dependency Audit

What to check: No unused dependencies, no known vulnerabilities in installed packages.

Run npm audit or pnpm audit. Remove packages the AI added "just in case." Every dependency is a liability - the AI doesn't pay the maintenance cost, you do.

17. Documentation

What to check: You have a README with setup instructions, environment variables, and common troubleshooting.

Future you (or a co-founder, or an acquirer) needs to understand this codebase. AI-generated code without documentation becomes a "three-month black box" - teams can't explain their own code after three months. Write an ARCHITECTURE.md explaining the key decisions.

The "Good Enough" Threshold

You don't need to pass all 17 perfectly before launching. But you need to pass the critical ones: secrets management, authentication, input validation, and backups. Everything else can be fixed post-launch if you have monitoring in place.

Think of it this way: items 1-5 protect your users. Items 6-10 protect your reputation. Items 11-17 protect your sanity. Launch without the first five and you're not shipping a product - you're shipping a liability.

Why This Matters More Than You Think

A METR study¹⁴ found that developers were 19% slower with AI tools despite believing they were faster. The time "saved" during building gets paid back with interest during debugging. GitClear's analysis of real repositories showed 60% less code refactoring since AI tools became popular - meaning bad code stays bad instead of getting cleaned up.

And security? AI-generated code has 1.7x more major issues and 2.74x more security vulnerabilities than human-written code, per CodeRabbit's analysis of 470 production PRs.

The vibe coding hangover is real. This checklist is your ibuprofen.

Ready to launch with confidence? GetLaunchBuddy helps vibe-coders ship production-ready products with built-in audits, GTM planning, and launch readiness scoring. Take the free launch readiness assessment ->

Related Content

• Vibe Debugging: How to Fix AI-Generated Code You Don't Fully Understand
• Lovable vs Bolt vs Cursor vs Replit: I Built the Same App on All 4
• Assess Your GTM Gaps with GetLaunchBuddy

Sources and notes

1. A recent industry analysis: https://www.decivo.de/en/blog/vibe-coding-prototyp-zum-produkt
2. Stripe's own engineering team: https://stripe.dev/blog/minions-stripes-custom-coding-agents
3. Supabase: https://supabase.com/docs/guides/ai-tools/mcp
4. Research from Solidmatics: https://www.solidmatics.com/insights/the-vibe-coding-hangover-hitting-companies-in-2026
5. PageSpeed Insights: https://pagespeed.web.dev/
6. 63% of vibe coding users are non-developers: https://www.taskade.com/blog/state-of-vibe-coding
7. axe DevTools: https://www.deque.com/axe/
8. Termly: https://termly.io/
9. UptimeRobot: https://uptimerobot.com/
10. PostHog: https://posthog.com/docs/ai-engineering
11. LogRocket: https://logrocket.com/
12. Sentry: https://sentry.io/
13. Stripe Projects CLI: https://docs.stripe.com/projects
14. METR study: https://www.hungyichen.com/en/insights/vibe-coding-software-engineering-crisis