Free Production Risk Audit for AI-Built Apps
TLDR: If your AI-built app works in the demo but you do not trust it in production, this audit tells you what will break first.
AnchorStack reviews working or near-working AI-built apps for founders who need engineering judgment before customers, money, or private data depend on the code. The audit is free. The output is a written production risk diagnosis with the highest-priority fixes called out in plain language.
It is not free implementation work. It is not a promise that every app will be accepted. It is a practical review of whether the foundation can survive real users.
Start your free production risk audit, return to the AnchorStack homepage, read more about how AnchorStack fixes vibe-coded apps, or browse the AnchorStack articles.
What the audit checks
The audit looks for the gap between "the app appears to work" and "the app can safely run in production." AI tools are good at building the happy path. Production risk usually sits in the parts the prompt never specified.
The review covers six areas:
- Production readiness: whether the core flows survive expired sessions, missing data, repeated requests, payment or email failures, and real deployment conditions.
- Security and auth: whether protected pages, API routes, server actions, role boundaries, tenant boundaries, and ownership checks are enforced server-side.
- Data and integration assumptions: whether database queries, migrations, third-party APIs, webhooks, background jobs, and error states are handled deliberately.
- Deployment and reliability: whether environment variables, secrets, build steps, logs, retries, rate limits, and rollback paths are clear enough for production use.
- Maintainability and ownership: whether a human engineer can understand the generated code, find the risky paths, and change it without breaking unrelated flows.
- Remediation priority: which problems matter now, which can wait, and which would block a safe launch.
In other words, the audit makes deployment and reliability risk visible and turns vague concern into a remediation priority list.
For a broader self-check, compare your app against the AI-built app production readiness checklist.
What you receive
You receive a concise written report. It is meant for a founder who needs to decide what to fix next, not a generic lint dump.
The report usually includes:
- The highest-risk production failure modes.
- Security or auth concerns that need immediate attention.
- Reliability and deployment issues that could create customer-facing failures.
- Maintainability risks in generated or vibe-coded sections.
- A prioritized remediation path.
- Clear notes on what is safe enough, what is fragile, and what needs deeper work.
The goal is clarity. After the audit, you should know whether your app is close to production, risky but recoverable, or not ready to expose to users.
What is free
The review and written diagnosis are free for qualified apps. That includes the initial intake, the code and product review, and the production risk report.
Free means AnchorStack will identify and explain the risk. It does not mean AnchorStack will rewrite the app, implement fixes, migrate data, configure infrastructure, or take ownership of production operations without a paid scope.
That boundary matters. A useful audit should tell you the truth about the app even when the next step is not something AnchorStack should sell.
What becomes paid work
Paid work begins when you want AnchorStack to fix, harden, or own part of the remediation.
Examples of paid follow-on work include:
- Repairing broken auth or tenant boundaries.
- Reworking server-side validation and API trust boundaries.
- Cleaning up database assumptions, migrations, or data access patterns.
- Stabilizing deployment, environment configuration, logging, and rollback paths.
- Refactoring generated code so another engineer can safely maintain it.
- Turning the audit report into an implementation plan and executing it.
The audit will separate urgent production blockers from nice-to-have cleanup so you can decide whether to fix issues yourself, hire AnchorStack, or hand the findings to another engineer.
Who qualifies
This audit is for working or near-working apps built substantially with AI coding tools, generated code, or fast prototype workflows. It is a good fit when the product mostly exists, but you are not sure whether the foundation is safe enough for production.
Good fits include:
- A founder preparing to launch an MVP.
- A solo builder whose Cursor, Lovable, Bolt.new, v0, Replit, or similar app works but feels fragile.
- A team that inherited generated code and needs to know what is risky.
- A SaaS app with auth, user data, payments, email, webhooks, or business-critical workflows.
Poor fits include napkin-stage ideas, static brochure sites, apps with no runnable code, and requests for free feature development. If the app is too early, the better first step is to build a thin working version and come back for review.
What happens after you request the audit
You submit the audit request from the site. AnchorStack reviews the fit, asks for the minimum context needed, and then inspects the code and product behavior against the production risk categories above.
If the app qualifies, you receive the report. If it does not qualify, you will still get a clear reason instead of a vague sales reply.
The next step is simple: request the free production risk audit. If your real problem is broader than the audit offer, start with Fix Vibe-Coded Apps Before They Break to understand the stabilization path.