AI-Generated Code Review

AI-generated code needs a different kind of review.

Reviewing AI-generated code is not like reviewing human code. Generated code compiles, runs and demos cleanly; its defects are omissions, the auth check never written, the rule never configured. Finding what is missing takes a person who knows what should be there.

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From $750, fixed quote, report in about a week. See full pricing

The defect is what the AI didn't write.

Human bugs are usually visible in the diff: wrong logic, bad math, a typo. AI's characteristic defect is invisible in any diff because it is an absence. The generated endpoint works for the demo user, so nobody notices it works for every user. Across 1,236 scanned apps and 12,205 findings, the overwhelming pattern is not broken code. It is missing protections around code that runs fine.

What you get.

Omission-first review

We review against a checklist of what generated code leaves out: ownership checks, rate limits, server-side validation, database rules, error handling on the unhappy path.

Intent testing

We learn what the app is supposed to allow, then verify the code enforces exactly that and nothing more. This is the step no automated reviewer can do.

Duplication and drift

Generated codebases repeat logic across files, and copies drift. We flag where the same rule lives in three places with two meanings.

Dependency and config review

Packages, environment handling and platform settings the generator chose silently, checked deliberately.

Prioritised report and re-review

Severity-rated findings, concrete fixes, free re-check after you apply them.

The kind of thing we find

Several reviewed apps were live in production with Firebase still in test mode, the wide-open setting meant for local development. One had its entire real-time database readable from the root, including top-level sections named users and wallets. The generator had configured it that way to make the demo work, and nothing ever changed it back.

How it works.

  1. 01

    Scope

    Which tool generated it, what the app does, fixed quote.

  2. 02

    Review

    Senior engineer reads the code and tests the running app against its intended rules.

  3. 03

    Report

    Findings with fixes in about a week, walked through with you or your builder.

  4. 04

    Re-review

    Fixes verified once applied. Included.

Common questions.

Can't AI review its own code?
AI review tools are genuinely useful for style, obvious bugs and known vulnerable patterns, and we use them as a first pass. What they cannot know is your intent: whether that public table is a feature or a breach. The serious findings all live in that gap.
Which AI tools' output do you review?
All of them: Lovable, Bolt, Replit, Base44, v0, Cursor, Claude Code, Windsurf and plain ChatGPT-pasted code. The failure pattern is remarkably consistent across generators.
Is this a one-off or ongoing?
Either. Most clients start with a one-off review of the whole codebase, then some keep us on for review of new AI-generated changes before they ship.
What does it cost?
From $750 for the full review, fixed quote first, re-review included.

Related services.

See what the free automated scan finds at Vibe App Scanner

Let's build something real.

Tell us about your app or idea. You'll get a clear plan and a fixed quote back within 24 hours.

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