A code audit service should turn uncertainty into a decision. For an AI-built app, the useful output is not a large issue count. It is a verified account of which business-critical paths were reviewed, what evidence supports each finding, what deserves attention first, and what can wait.
Choose the service by what it covers and what it proves, not by whether its page mentions Lovable, Bolt, Replit, Cursor, or Claude Code. The reviewer should be able to explain how a candidate issue is verified in your app and how its business consequence changes its priority.
What should a code audit service check in an AI-built app?
The review should follow the working product into the code and configuration behind its main workflow. Depending on the app, that can include:
- account and tenant boundaries;
- payment, subscription, and entitlement decisions;
- data creation, updates, deletion, and recovery;
- server-side validation around paid APIs or model calls;
- deployment configuration, secrets, dependencies, and monitoring;
- the tests and change boundaries protecting workflows the business relies on.
That is narrower and more useful than asking whether every file was read. A reviewer who knows the main workflow can trace the places where a failure would expose data, lose revenue, create an uncontrolled cost, or make the next change unsafe. Ask how the service defines that workflow before access is shared.
Code audit, code review, scan, or penetration test?
These labels overlap in the market, so compare what the work actually covers rather than what it is called. The person doing it may be sold to you as a code auditor, a security engineer, or a senior developer, and the title tells you less than the method does.
| Type of work | Primary question | Typical evidence | Important limitation |
|---|---|---|---|
| Automated scan | What patterns or known issues might exist? | Rule matches, dependency records, or live-surface observations | A candidate still needs verification in the app’s real context |
| Code-quality review | How maintainable and changeable is this codebase? | Architecture, duplication, tests, and development-practice observations | It may not exercise the working product or test an attack path |
| Fixed-price app audit | Which verified issues matter to this app and its main workflow? | Code references, reproduced behavior, reachability, and consequence-ranked findings | The written terms may exclude fixes, retesting, or formal assurance |
| Penetration test | Can an agreed attack surface be exploited under a defined threat model? | Adversarial test evidence, findings, and often a retest | Procurement, compliance, and coverage requirements need a purpose-built test plan |
A fixed-price app audit is not automatically a substitute for a penetration test, a compliance assessment, or ongoing engineering work. If a customer, insurer, or regulator requires a named standard, testing method, or attestation, confirm that requirement before buying a general code audit.
How to compare code audit services before you pay
Ask each provider the same questions and compare the answers in writing:
- 01 What product, repository, environment, and business workflow does the review cover?
- 02 What access is required, how is it protected, and when should it be provided?
- 03 What evidence accompanies a finding: a file and line, request, configuration, reproduced behavior, or another verifiable artifact?
- 04 How are scanner candidates challenged before they reach the final report?
- 05 How does reachability and business consequence affect priority?
- 06 What exactly will I receive, and can another developer act on it without buying more work from you?
- 07 What is excluded: implementation, retesting, penetration testing, legal advice, or regulated certification?
The strongest answer to “How do you verify a finding?” describes both confirmation and rejection. A dependency alert, secret pattern, missing test, or suspicious authorization rule is a lead. It becomes a reportable finding only after the reviewer checks that it applies to the version, path, and environment being reviewed.
Ask what evidence would make the reviewer include a finding, and what evidence would make them reject it.
Reachability is the part a shallow review skips. One local AI tool I checked had already “fixed” a leaked provider key: the config file that hardcoded it was deleted and replaced with a proper .env read, and the commit history looked clean going forward. The key was still sitting in an earlier commit, still readable by anyone who cloned the repo, because deleting a file never deletes what git already remembers. I wrote it up as critical for that reason, not because the latest commit looked risky. A report that flags “secret found in history” and stops there misses the part that decides whether it matters: whether the credential is still reachable.
How to judge the sample report
A polished template proves presentation quality, not review quality. Read one complete sample finding and look for five connected parts:
| Part | What a useful report shows |
|---|---|
| Claim | The specific behavior or control that is wrong |
| Evidence | Where it exists and how the reviewer verified it |
| Reachability | Who or what can trigger it in the app being reviewed |
| Consequence | The plausible effect on users, data, revenue, cost, or operations |
| Next action | A concrete response, ordered relative to the other findings |
The evidence should support the consequence. A vulnerable package that is not loaded on the affected path is different from an exposed endpoint that uses it. A missing test is different from a demonstrated account-isolation failure. Severity labels without that connection are difficult to act on.
Across AxonBuild’s fixed cohort of 21 third-party apps reviewed in June and July 2026, the research recorded 958 findings, of which 58 were critical under that historical method. That does not predict how many findings another app will have. It shows why triage matters: a raw total can bury the small set with the largest consequence. The full ledger behind that figure, method and limits included, lives in the corpus writeup built to carry it.
What should the final report contain?
At minimum, expect a written statement of what was reviewed, evidence-backed findings, a clear priority order, limitations, and enough context for someone else to continue the work. The report should distinguish confirmed behavior from a suspected risk and should not quietly turn every observation into a recommendation to rebuild.
Security is only one possible part of an AI-built app review. The app may also have fragile data migrations, duplicated business rules, missing monitoring, unbounded paid calls, or no tests around the workflow that earns revenue. The broader AI-built app audit guide explains that review process; this article is about choosing and comparing the service itself.
How AxonBuild prices this work
AxonBuild does not sell a standalone paid audit. We review code when it is needed to confirm or complete an agreed repair. A web app with source code or a usable project export is the clearest fit. One real finding is published in full, evidence and consequence included, so the standard is visible before you share access. That page is an example of how we verify a problem, not a report included with every job.
The first step is a free 20-minute call. No payment or source access is required to book it. A qualifying new client can use the $99 price once for one agreed repair in a working app. We complete it within three business days once access works, and payment comes after you see it work. Other work is quoted after we review the code. The buyer owns the app and the code and can use another developer. Native apps and large multi-repository systems may need a different arrangement.
Those boundaries are part of the comparison, not fine print. Apply the same test to any service: confirm what it reviews, what it delivers, when its clock starts, and what it explicitly does not promise.
Common questions from code audit buyers
How much does a code audit service cost?
There is no useful market-wide number without knowing how much gets reviewed, what access is given, and what evidence standard applies. AxonBuild’s dated comparison of what code review services publish, seller by seller, carries the actual figures and the units they are quoted in. AxonBuild does not price a review on its own. Its only public price is $99 for one qualifying new-client repair. Other work is quoted after we review the code.
How long does a code audit take?
Turnaround ranges with how much is being reviewed and how quickly access arrives. Ask when the clock begins, what can pause it, and whether the stated time includes a walkthrough or only an automated report. AxonBuild writes down the delivery date and what counts as done before work begins.
How do I choose a code audit service?
Define the decision you need to make, then compare what each service covers, its evidence, its verification, its priority method, its exclusions, and whether another developer could act on the report. A service is a poor fit if it cannot show how its report will help you decide what to do next.
What is different about auditing AI-built code?
The underlying engineering and security standards do not change. The review emphasis often does: generated apps can contain duplicated configuration, controls that exist but are not connected to the live path, client-side decisions that belong on the server, or paid model endpoints without effective limits. The provider still has to verify those conditions in the app rather than assume the build method caused them.
Should I get a code audit before or after launch?
Before launch is useful when users, payments, or sensitive data are about to depend on the app. After launch is reasonable when recurring failures, due diligence, ownership changes, or a risky next release create a specific decision. In either case, build the review around the current decision rather than buying a generic issue count.
Need this fixed in your own app?
New clients can start once with one agreed blocker for $99. We fix it within three business days once access works, and you pay after seeing it work.
