Lovable.dev App & 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 a human reviewer would spot. That's not a fault of Lovable specifically — it's a property of how today's AI builders work. A launch without a human in the loop is a launch with unknown risk.

Why Your Lovable App Needs a Human Check

Automated scanners catch the deterministic surface — broken requests, console errors, missing validation, JS-readable tokens. That's exactly what our free scan is for, and it's a good first pass. But scanners don't read your business logic. They don't notice that a payment flow lets a user reach the confirmation page without ever charging the card, or that an admin-only route is reachable from a regular session token, or that your Supabase RLS policy silently grants table-wide read access. A human reviewer does.

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 this service exists to catch.

Common Lovable App Problems

Across the Lovable.dev projects we've audited, 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 Reviews Cover

We export your Lovable.dev project code and have a senior engineer audit it top-to-bottom. The review covers:

• 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 concrete remediation steps and (where useful) ready-to-paste prompts 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 (or if you'd like a human in the loop before launch), upgrade to a paid review:

• Critical Review — $199. A senior engineer audits the highest-risk surfaces (auth, payments, data access, security) and writes up the must-fix items. Turnaround: 1–2 days.
• Full App Human Review — $699–$1,349. End-to-end audit of frontend, backend, database security, and deployment. Full prioritized fix plan. Turnaround: 1–2 weeks.

Both are one-time payments. No retainers, no surprise invoices. All work happens under NDA against read-only access.