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Glossary

What is a code audit?

Before you raise money, hire a team or put real users on an AI-built app, someone should read the code. This is what that reading covers.

Updated October 24, 2026Sources checked October 24, 20263 min readHow we check our content

In short

A code audit is a structured review of a whole codebase by experienced engineers, looking for security holes, reliability risks and code that will be hard to change. It ends in a written list of findings ranked by risk. Unlike a code review, which checks one change before it merges, a code audit looks at everything that already exists.

Also called: Source code audit, Codebase review

What does a code audit answer that the screens cannot?

An AI-built app has usually never been read by anyone. An audit is the first reading, and it answers the questions the screens cannot: who can reach which data, what happens on a retry, where the secrets are, what breaks if two people act at once.

Which areas does a code audit check?

A code audit checks five areas: access control, which is first on the OWASP Top 10:2025; secrets and configuration; data, including row-level security, migrations and backups; reliability, such as retries, duplicates and error handling; and maintainability, meaning tests, duplication and dependencies. Each finding is ranked by risk:

  • Access control: broken access control is first on the OWASP Top 10:2025.
  • Secrets and configuration: keys in client code, permissive defaults.
  • Data: row-level security, migrations, backups.
  • Reliability: retries, duplicates, background work, error handling.
  • Maintainability: tests, duplication, dependencies.

How does a code audit of a Lovable and Supabase app work?

Start with the automated checks, then read the code by hand. Lovable's quick scan reviews the database, dependencies and MCP servers on every publish, and its deep scan looks at access control, secrets and authentication. Lovable itself says these tools cannot guarantee complete security, so apps handling sensitive data may need a professional review.

  1. 01Run the tools firstLovable's scans, a dependency audit and our exposed key checker catch known patterns quickly, so human time goes to judgment.
  2. 02Map who can reach whatList every table and server function, and check each against the rules the product needs. Missing row-level security shows up here.
  3. 03Read the risky pathsSign-in, payments, file uploads and anything that sends email or changes another user's data.
  4. 04Rank the findingsWrite each one down with what could happen, how likely it is, and the fix.

Which OWASP risks does a code audit look for beyond access control?

The OWASP Top 10:2025 gives an audit its checklist. After broken access control come security misconfiguration, software supply chain failures, cryptographic failures and injection. The list also covers insecure design, authentication failures, data integrity failures, logging and alerting failures, and mishandling of exceptional conditions such as errors and retries.

An audit tells you what is wrong; it does not fix it. If you want both, our vibe coding rescue starts with a review of what exists, then makes the fixes. For a quick first look before that, try the production readiness check.

Common questions

What is the difference between a code audit and a code review?

A code review checks one change before it is merged. A code audit reviews the whole existing codebase at once and reports its risks. An audit ends in a written list of findings ranked by risk, covering access control, secrets, data, reliability and maintainability.

Can AI audit code?

Tools help find known patterns quickly. Judging access rules and business logic still takes an engineer who understands what the app is meant to allow. Access control, first on the OWASP Top 10:2025, depends on knowing who should reach which data.

When does an AI-built app need a code audit?

Before real users, real payments or sensitive data reach it, and before you raise money or hand it to a new team. Lovable's own documentation says its scans cannot guarantee complete security, and that apps handling sensitive data may need a professional security review. An audit is that review.

Go deeper

How to hand over an AI-built app to developers

How to hand over a Lovable or AI-built app to developers: accounts to move, the handover pack, how GitHub sync works, and how to test it is complete.

More on this: Production architecture & security · All glossary terms

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