If you have built an app with Lovable, Bolt, Cursor, Replit, or any other AI coding tool, there is a moment where you start thinking about real users, real payments, and real data. That is the moment you need a vibe code audit.

A vibe code audit is a structured technical review of an AI-generated codebase, conducted before the application is handed to a development team or launched to production. It identifies the security gaps, architectural problems, and scalability risks that AI tools reliably introduce — and produces a clear, prioritized list of what needs to be fixed and in what order.

At Beesoul, we have reviewed over 600 projects across six years. Since vibe coding went mainstream in 2025, the most common request we get is: “I built this with Lovable / Bolt / Cursor — can you check if it is safe to launch?” This post explains exactly what we look for, why each check matters, and what we do about the findings.

Quick answer: A vibe code audit checks 18 categories across security, architecture, data integrity, compliance, and scalability. Most vibe-coded apps have 8–14 findings. The most critical are almost always authentication, row-level security, and missing soft deletes.

If you have built an app with Lovable, Bolt, Cursor, Replit, or any other AI coding tool, there is a moment where you start thinking about real users, real payments, and real data. That is the moment you need a vibe code audit.

A vibe code audit is a structured technical review of an AI-generated codebase, conducted before the application is handed to a development team or launched to production. It identifies the security gaps, architectural problems, and scalability risks that AI tools reliably introduce — and produces a clear, prioritized list of what needs to be fixed and in what order.

At Beesoul, we have reviewed over 600 projects across six years. Since vibe coding went mainstream in 2025, the most common request we get is: “I built this with Lovable / Bolt / Cursor — can you check if it is safe to launch?” This post explains exactly what we look for, why each check matters, and what we do about the findings.

Quick answer: A vibe code audit checks 18 categories across security, architecture, data integrity, compliance, and scalability. Most vibe-coded apps have 8–14 findings. The most critical are almost always authentication, row-level security, and missing soft deletes.

The 18 checks in a Beesoul vibe code audit

We organize our audit into five categories. Every finding gets a severity rating — Critical, High, Medium, or Low — and a remediation estimate in developer hours.

Category 1: Authentication and access control

This is where the most dangerous vulnerabilities live. AI tools frequently generate authentication logic that looks correct but fails in edge cases.

Check	What we look for	Severity if missing
Row-level security (RLS)	Every database table enforces that users can only read and write their own records — not anyone else’s	Critical
Admin privilege escalation	An admin cannot grant themselves or another user elevated permissions without a separate approval mechanism	Critical
Session handling	Tokens expire correctly, logout actually invalidates sessions server-side, and refresh token rotation is implemented	High
Password reset flow	Reset links expire, are single-use, and cannot be intercepted or reused after completion	High
API authentication	Every endpoint that returns user data requires a valid authenticated session — no public endpoints exposing private data	Critical

Most common finding: Supabase row-level security is disabled or only partially configured. This means any authenticated user can query any other user’s data by changing an ID in the request. We find this in roughly 70% of Lovable-generated apps.

Category 2: Data integrity and deletion

AI tools almost never implement soft deletes or proper deletion flows. This creates two problems: compliance exposure (GDPR requires the ability to erase user data) and operational risk (there is no way to recover accidentally deleted records).

Check	What we look for	Severity if missing
Soft deletes	Records are marked as deleted rather than physically removed, with a deleted_at timestamp and filtered queries	High
GDPR account deletion	A complete account deletion flow exists that removes or anonymizes all personally identifiable information across every table	Critical
Audit trails	Sensitive actions (payments, role changes, data exports) are logged with user ID, timestamp, and IP address	High
Data validation	Inputs are validated server-side — not just in the UI — before being written to the database	High
Cascade behaviour	Deleting a parent record does not silently orphan or expose child records	Medium

Category 3: Payment and financial logic

If your app handles payments, this category becomes the most urgent. AI-generated payment logic frequently has critical errors in webhook handling, refund flows, and subscription state management.

Check	What we look for	Severity if missing
Webhook verification	Payment provider webhooks (Stripe, PayPal, etc.) are verified with a signature before being processed	Critical
Idempotency	Webhooks and payment events cannot be processed twice — duplicate events are detected and ignored	Critical
Subscription state	Subscription status in the database is driven by webhook events, not client-side calls that can be manipulated	High
Refund flow	Refunds are handled through the payment provider API, not by directly updating the database	High

Real example: A founder came to us with a Lovable-built SaaS that was charging users correctly but not granting access after payment — because the success page updated the UI but a failed webhook meant the database never changed. We fixed this in four hours. If it had launched, every paid signup would have manually contacted support.

Category 4: Architecture and scalability

This category looks at whether the codebase can actually grow. AI tools make stack decisions for you — often defaulting to choices that work at low scale but create expensive migrations later.

Check	What we look for	Severity if missing
N+1 query problems	Database queries inside loops that trigger one query per record — a common AI-generated pattern that causes exponential slowdown at scale	High
Missing indexes	Foreign keys and frequently filtered columns have database indexes — without them, queries slow to a crawl beyond ~10,000 rows	High
Environment separation	Production and development environments are genuinely separate — different databases, different API keys, different credentials	High
Error handling	Errors are caught, logged, and return sensible responses — not raw stack traces exposed to users	Medium
Rate limiting	Public-facing endpoints have rate limiting to prevent abuse and accidental DDoS from misbehaving clients	Medium

Category 5: AI crawler and SEO readiness

This check is specific to product and marketing sites built with vibe coding tools. We check whether the site’s robots.txt, sitemap, and structured data are correctly configured — because vibe coding tools frequently generate broken or missing configurations in these areas.

• robots.txt allows legitimate AI crawlers (GPTBot, ClaudeBot, PerplexityBot) while blocking scrapers
• llms.txt exists and lists the key pages for AI indexing
• sitemap.xml is complete and submitted to Google Search Console
• No pages return redirect chains — AI bots abandon pages that redirect more than once
• No pages with thin or duplicate content that confuse both Google and AI about the site’s topic

What a typical vibe code audit finds

Based on the projects we have reviewed since vibe coding became mainstream, here is the distribution of findings by severity:

Severity	Average findings per audit	Most common issue
Critical	2–4	RLS disabled, unverified webhooks, or missing account deletion
High	4–7	No soft deletes, N+1 queries, missing indexes, broken session expiry
Medium	3–6	Missing error handling, no rate limiting, hardcoded credentials in code
Low	2–4	Inconsistent validation, missing loading states, UI-only error messages

The average vibe-coded app has 11–21 findings before it is production-ready. Most critical findings can be resolved in 1–3 developer days each. The full remediation for a typical MVP takes 2–4 weeks of focused engineering work.

What the audit process looks like

Here is exactly how we run a vibe code audit at Beesoul:

1. Repository access — you share read access to your codebase via GitHub, GitLab, or a zip file. We review the actual code, not a demo.
2. Automated scan — we run a suite of static analysis tools against the codebase to flag known vulnerability patterns, dependency issues, and code health metrics.
3. Manual review — a senior engineer reads the authentication logic, database schema, payment flows, and API layer by hand. Automated tools miss context-dependent issues.
4. Findings report — we produce a written report with every finding categorized by severity, a plain-English explanation of the risk, and a remediation recommendation.
5. Walkthrough call — we walk through the report with you and your team so you understand exactly what each finding means for your product and your users.
6. Remediation (optional) — we can fix the findings ourselves, or provide detailed technical specifications for your own team to implement.

Timeline: A standard vibe code audit takes 3–5 business days from repository access to delivered report. For larger codebases (over 50,000 lines), allow 7–10 days.

How much does a vibe code audit cost?

A Beesoul vibe code audit is priced based on codebase size and scope:

App size	Typical scope	Price range
Small MVP	Under 10,000 lines, 1–3 core features, single database	From $1,500
Mid-size product	10,000–50,000 lines, payments + auth + multiple user roles	From $3,000
Larger platform	50,000+ lines, multiple integrations, compliance requirements	Custom quote

The audit cost is typically recovered in the first month of avoided support tickets, incident response time, and — most importantly — the cost of not having to explain a data breach to your users.

Vibe code audit vs. penetration testing — what is the difference?

These are complementary but different. A vibe code audit is a code-level review: we read the source, check the logic, and identify vulnerabilities in how the application is built. Penetration testing is a runtime attack simulation: a tester actively tries to break into a running application.

For most pre-launch vibe-coded apps, the audit comes first. It is faster, cheaper, and more actionable at the code level. Penetration testing makes the most sense after the critical code-level findings have been fixed — otherwise you are paying for a pentest that will find the same issues the audit already identified.

Beesoul offers both. If you need the full picture — code review plus active penetration testing — book a discovery call and we will scope both together.

Frequently Asked Questions (FAQ)

1. What does vibe coding mean?

Vibe coding means building software applications using AI tools by describing what you want in plain language, without writing traditional code. The term was coined by Andrej Karpathy in early 2025.

2. Is vibe coding real programming?

Vibe coding produces real, functional code that you own and can modify. It is different from no-code tools because you get actual source files.

3. Can vibe-coded apps go to production?

Yes — but with important caveats. The requirement is a professional review of security, architecture, and scalability before real users and real data are involved.

4. What is the best vibe coding tool for non-technical founders?

Lovable is one of the most beginner-friendly vibe coding tools for non-developers who want to go from idea to deployed app.

5. What is a vibe code audit?

A vibe code audit is a structured review of an AI-generated codebase that checks for security vulnerabilities, architectural problems, data integrity issues, and compliance gaps before the application is launched to real users.

6. Do I need a vibe code audit before launching my app?

Yes, if your app handles user accounts, payments, or any personally identifiable data. Launching without a review puts your users and your business at risk.

7. How long does a vibe code audit take?

A standard vibe code audit takes 3–5 business days for a typical MVP. Larger codebases take 7–10 days.

8. What tools does Beesoul audit?

We audit codebases generated by any AI tool including Lovable, Bolt, Cursor, Replit, v0 by Vercel, Windsurf, and custom Claude or GPT-based coding workflows.

9. What happens after the audit?

You receive a written findings report with every issue categorized by severity and accompanied by a remediation recommendation.

10. Can I get a free vibe code audit?

Beesoul offers a free 30-minute discovery call where we review your app at a high level and recommend next steps.

Ready to audit your vibe-coded app?

If you have built something with Lovable, Bolt, Cursor, Replit, or any other AI tool and are thinking about launching to real users, the next step is a vibe code audit. Book a free discovery call with Beesoul and we will tell you exactly where your app stands.

We have reviewed over 600 projects across six years. Vibe-coded apps are now the majority of what we see. We know where they break, and we know how to fix them.