Cursor Review

What I Check Before a Cursor-Built App Goes to Production

Cursor can compress weeks of development into days. The tradeoff is that a working app can accumulate decisions nobody consciously made. Before a Cursor-built app goes to production, I review the parts where speed tends to hide risk.

J
Josh from SaferCode

I check where the app trusts the browser

The most important Cursor review question is: what does the server actually enforce?

Cursor often helps produce flows that look correct because the UI prevents the wrong action. But production security depends on API handlers, server actions, database policies, and backend validation.

I look for direct client writes, missing ownership checks, broad Supabase queries, admin-only actions exposed to normal users, and any place where hiding a button is treated as authorization.

I trace the data model against the product model

Generated apps often have a database schema that mirrors screens instead of business rules. That works until teams, roles, billing, or permissions arrive.

For a Cursor-built app, I map the core product objects to the tables, policies, and API routes that manipulate them. If a “project,” “workspace,” “document,” or “subscription” means different things in different files, bugs follow.

The goal is not a perfect domain model. The goal is to remove ambiguity before real users create real data.

I look for repeated AI-generated patterns

One weak route is a bug. The same weak pattern across ten routes is a system problem.

Cursor can copy a pattern very efficiently, including unsafe ones: missing validation, broad catches, inconsistent auth checks, weak error handling, and duplicated data-fetching logic.

I scan for repeated handlers, inconsistent environment access, different versions of the same helper, and components that should share one safe path instead of many almost-safe paths.

I review Stripe, Supabase, and AI API boundaries

Most Cursor-built SaaS apps combine a few common building blocks: Next.js or React, Supabase or Firebase, Stripe, Vercel, and an AI API.

Each boundary needs explicit checks. Supabase needs RLS and safe service-role usage. Stripe needs verified webhooks and server-side entitlements. AI APIs need rate limits, prompt-injection awareness, and cost controls.

If those boundaries are vague, the app can look production-ready while still being easy to abuse.

I test product states Cursor usually skips

Cursor is strongest when you ask for a happy path. Production asks for all the other paths.

I check what happens when a user signs up twice, loses a session, has no data, uploads a bad file, changes plan, refreshes during checkout, opens the app on mobile, or receives an API error.

These states decide whether users trust the product. They also decide whether the founder spends launch week debugging avoidable support problems.

What I want to see before green-lighting production

A Cursor-built app is ready when the critical paths are enforced server-side, the database policies match the product model, payments are verified, secrets stay server-only, and the UX can handle ordinary failure.

It does not need to be over-engineered. It does need to be understandable and safe enough to keep iterating.

If you built with Cursor and want a production review, send me the repo and staging URL at josh@safercode.dev.

Want me to review your AI-built app?

Send your staging URL, repo context, and what you are trying to launch to josh@safercode.dev. I will tell you which review path fits best.