Lovable.dev AI Scans & Code Reviews

Lovable.dev: Fast Prototyping with Hidden Risks

Lovable.dev gets you from idea to working UI in minutes — sometimes hours of engineering compressed into a single prompt. That speed is real, and it's why teams use it. But AI-generated code is non-deterministic, and the same prompt can produce different code on different runs. The first 80% of the build is usually fine. The last 20% — edge cases, authentication, race conditions, production hardening — is where things quietly break.

Independent research has found that roughly 12% of AI-generated code carries systematic vulnerabilities. That's not a fault of Lovable specifically — it's a property of how today's AI builders work. A launch that hasn't been scanned for them is a launch with unknown risk.

Why Your Lovable App Needs an AI Scan

Lovable ships changes faster than anyone can re-read them. Every prompt can regenerate components, rewire auth, or touch your database — so a one-off manual check is out of date the moment you iterate again. An AI scan keeps pace: it runs up to 151 structured checks in minutes, and you can re-run it after every major change instead of waiting weeks for a review.

It also goes well beyond a basic linter. The AI reasons about how your app actually behaves — flagging a payment flow that reaches the confirmation page without charging the card, an admin-only route that answers a regular session token, or a data layer that grants more read access than it should. We've seen Lovable apps where the front end looked finished, the demo worked, and the database was wide open. That's the failure mode our AI scan exists to catch.

Common Lovable App Problems

Across the Lovable.dev projects we've scanned, the same families of issues keep showing up:

• Context loss between iterations — the AI re-generates a component without remembering why an earlier guard existed, and the guard quietly disappears.
• Broken or partial auth flows — session handling looks fine on the happy path but fails on token expiry, password reset, or sign-out from a second device.
• Hidden credentials and secrets — API keys baked into client bundles, service-role keys exposed to the browser, or env vars logged on first load.
• Misconfigured database security — Supabase RLS policies that grant more access than intended, or are missing on tables you assumed were protected.
• Silent data migrations — schema changes applied to production through the AI's "fix this" loop, sometimes losing data or breaking existing rows.
• Race conditions and unhandled async state — buttons that double-submit, optimistic updates that never reconcile, requests that never time out.
• Security holes in default settings — CORS wildcards, missing CSRF guards on state-changing endpoints, debug pages left in production.

What Our Lovable AI Scans Cover

Our AI scans your Lovable.dev app top-to-bottom — 41 checks in the Critical AI Scan, 151 in the AI-Powered Full Scan. Coverage includes:

• Frontend code quality — component structure, accessibility, mobile behavior, error states, hydration mismatches.
• Backend logic and APIs — endpoint correctness, error handling, retry safety, idempotency where it matters.
• Authentication and session flow — sign-up, sign-in, OTP/password reset, token storage, session invalidation, role checks.
• Database security — Supabase RLS policies, public vs. authenticated queries, table-level grants.
• Security and exposure — hardcoded secrets, exposed service-role keys, CORS, CSRF, XSS surfaces, dependency vulnerabilities.
• Performance and load behavior — bundle size, render bottlenecks, N+1 queries, missing indexes.
• Deployment configuration — env-var handling, build settings, headers, caching.

You get a prioritized fix list — severity-ranked, with an AI launch-readiness verdict and a ready-to-paste AI fix prompt for every issue that you can take back into Lovable or Cursor.

Pricing & Next Steps

Start with the free scan — paste your Lovable.dev app URL on the home page and we'll run an automated check in seconds. If the score flags anything, upgrade to a deeper AI scan:

• Critical AI Scan — $19. 41 AI checks on the highest-risk launch areas (auth, payments, database connectivity, data flow) with priority fixes and AI fix prompts. Results: minutes after intake.
• AI-Powered Full Scan — $49. 151 AI checks across your full application — security, performance, architecture, scalability, and maintainability. Full prioritized fix plan. Results: minutes after intake.

Both are one-time payments, with no surprise invoices. Building a critical app that needs an extra audit? Human-verified reviews are also available on the pricing page.