Vibe Coding Security Checklist for Teams Using AI App Builders

Quick Checklist

Vibe-coding security quick checklist

Run this before a Lovable, Base44, Replit, Bolt, v0, or similar AI-generated app is shared outside the building team.

Check	Pass condition	Evidence to keep
App purpose	The app has a named owner, audience, data class, and launch scope.	Owner, use case, data classification, and approved sharing scope.
Secrets	API keys, tokens, passwords, and webhook secrets are stored in platform secret storage or backend-only infrastructure, not frontend code or prompts.	Secret inventory, storage location, rotation owner, and scan notes where available.
Authentication	Every non-public function requires the expected sign-in method.	Auth settings, test users, role matrix, and failed anonymous-access checks.
Data access	Users can only read or write records they are allowed to access.	RLS/data-access rules, test cases for two users, and reviewer signoff.
Public URLs	Preview, staging, generated deployment URLs, and production domains have the right access controls.	URL inventory, deployment protection settings, and sharing list.
Generated code	Security scans and a human review have checked auth, input handling, server-side actions, and sensitive responses.	Scan output, reviewer notes, unresolved issue list, and acceptance decision.
Dependencies	Known vulnerable packages are reviewed or updated before launch.	Dependency scan result, accepted exceptions, and remediation ticket links.
Agent actions	Publishing, secret changes, outbound calls, destructive writes, and production deploys require human approval.	Approval log or checklist signoff.
Logging and audit	The team can tell who changed the app, who accessed sensitive areas, and what was deployed.	Audit log location, admin list, rollback owner, and incident contact.
Rollback	The team knows how to disable the app, rotate exposed keys, revoke users, and restore a prior version.	Rollback runbook and tested owner contact.

What to check before anyone shares the app

Use this checklist when a generated app moves from private experimentation to a shared preview, internal pilot, customer demo, or production deployment. Require an owner, use case, data class, and launch scope before anyone distributes a URL.

Secrets and API keys

Secrets do not belong in prompts, frontend code, client-side bundles, public repos, generated files, logs, or user-visible responses. Store API keys in managed secrets or backend-only infrastructure, rotate them when exposure is suspected, and keep evidence of where each credential lives.

Authentication and user access

Test anonymous, normal user, admin, contractor, and suspended-user paths. UI hiding is not access control. SSO, RBAC, SCIM, IP allowlists, and audit logs can help when the selected plan supports them, but plan availability must be checked before procurement.

Database rules and row-level access

For data-backed apps, require cross-user tests: user A cannot read, update, export, or infer user B's records. Review generated database rules and row-level access policies before sharing a preview or production URL.

Public URLs, previews, and deployment protection

Do not only check the final custom domain. Inventory generated preview URLs, deployment URLs, shared demo links, staging links, and public asset buckets. For v0 projects deployed on Vercel, use Vercel deployment controls and verify plan-dependent coverage.

Dependency and generated-code scans

Scans help catch vulnerable dependencies, exposed credentials, and common code issues. They do not prove the app is safe. Require human review for authentication, authorization, data exposure, server-side actions, payment flows, file uploads, admin functions, and external API calls.

Agent actions that need human approval

The platform can provide controls, but the team owns decisions about who can view, edit, configure connectors, view secrets, approve publication, approve secret changes, and approve outbound calls.

Evidence to keep before launch

Keep the owner, scope, data class, URL inventory, auth test notes, data-access test notes, secret storage evidence, scan output, unresolved exceptions, approval decision, and rollback owner.

Tool-specific security controls to verify

Builder	Controls to verify from primary docs before launch
Lovable	Secrets, Edge Functions, RLS analysis, database security checks, code security review, dependency audit, Security view, and workspace Security center where the plan supports it.
Base44	App visibility, data access rules, security scan, package vulnerability scan, exposed credentials detection, login verification checks, secrets management, app SSO, and enterprise controls where the plan supports them.
Replit	Secrets, optional pre-deployment scans, shared-responsibility controls, team privacy/security settings, SSO, RBAC, and private deployments where the plan supports them.
Bolt	Keep Bolt in the generic app-builder checklist unless official StackBlitz/Bolt security documentation is reviewed for a specific claim.
v0 / Vercel	Vercel project connection, environment variables, Deployment Protection, preview/production URL coverage, and plan-gated access methods.

Commercial next steps

FAQ

Is vibe coding safe for business apps?

It can be safe enough for narrow use cases when the team treats the generated app like software: classify the data, lock down access, protect secrets, review generated code, scan dependencies, keep launch evidence, and require human approval before sharing or deploying.

What is the biggest security risk in AI-generated apps?

The biggest practical risk is usually an app that exposes secrets, user data, admin actions, or generated deployment URLs because nobody reviewed authentication, authorization, data access, and backend behavior before launch.

Should non-engineers publish AI-generated apps directly?

Non-engineers can own prototypes and internal experiments, but production or customer-facing apps need a technical and security review path.

Do Lovable, Base44, Replit, Bolt, or v0 security scans replace AppSec review?

No. Built-in scans are useful for common issues, but they do not replace human review of auth logic, sensitive workflows, payment flows, file uploads, admin functions, integrations, and business-specific risk.

What evidence should a team keep before publishing an AI-generated app?