Production Readiness Audit for AI-Built and React/Next.js Apps

Why audit before you launch or raise

AI app builders have made it possible to go from idea to working product in days. The catch is that "it works on my screen" and "it's ready for strangers on the internet" are two very different things.

Tools like Lovable, Bolt and v0 are excellent at producing something that looks and behaves correctly in a demo. They are much less reliable at the invisible parts: who is allowed to read which data, what happens when something fails, and whether secret keys have ended up in the code your visitors download. Hand-written apps have the same blind spots when a team has been moving fast.

These problems tend to surface at the worst moment: right after launch, during a payment flow, or when an investor's technical adviser takes a look. A production readiness audit finds them while they are still quick and inexpensive to fix, before they become an incident.

I review AI-generated code with the same rigour as code written by a person. I use AI tools daily myself, so I know where they cut corners.

What I check

The audit covers seven areas, each with a clear verdict in the report.

Security

• Authentication flows: sign-up, login, password reset and session handling, including whether a logged-out user can reach pages or data they shouldn't.
• Database access rules: row-level security in Supabase or security rules in Firebase, which decide which user can read or change which rows. Missing or overly open rules are a common issue in AI-built apps.
• Exposed secrets: API keys, service keys and tokens accidentally shipped in the client bundle (the JavaScript every visitor downloads).
• API protection: whether your endpoints check who is calling them, and whether rate limiting (a cap on how often someone can call them) is in place.
• Input validation: whether the app trusts whatever users type, which can open the door to data leaks or broken records.

I use the OWASP Top 10 (opens in a new tab) as a reference point for common web security risks.

Performance

• Bundle size: how much code each page forces visitors to download.
• Slow or repeated database queries.
• Core Web Vitals (opens in a new tab) basics: how quickly your pages load, respond and settle on screen, which affects both users and search rankings.

Code structure and maintainability

Whether the code is organised so that you, your team or a future developer can change it without breaking something else. This matters most if you plan to keep building on top of what an AI tool generated.

Error handling and monitoring

What users see when something goes wrong, and whether you would find out about it. Many apps fail silently, so the first you hear of a problem is an unhappy customer.

Deployment setup

Separate development and production environments, how environment variables are managed, whether there's any automated checking before code goes live (CI), and whether your data is backed up.

SEO basics and scalability risks

Page titles, metadata and crawlability for public pages, plus anything likely to struggle as user numbers grow.

What the report looks like

The report is written for a founder, not just for engineers. Every finding follows the same format:

• Severity: critical (fix before launch), important (fix soon) or nice-to-have (improve when you can).
• Plain-English explanation: what the problem is and why it matters to your business, with any technical terms explained.
• Where it is: the file, page or setting involved, so a developer can find it quickly.
• Effort estimate: a rough size, from a quick change to a larger piece of work.
• Suggested order: a recommended sequence, since some fixes unlock or simplify others.

What I need from you

To start, I ask for:

• Read-only access to your repository on GitHub or similar. I don't need permission to change anything.
• A staging URL or test account, if you have one, so I can see the app running as a real user would.
• About 15 minutes of context, either a short call or a written note: what the app does, who uses it and anything that's already worrying you.

Your code stays private. I'm happy to sign an NDA before you share access.

What happens after the audit

You own the report, and what you do with it is entirely up to you. You can:

• Fix it yourself, especially if you're comfortable prompting your AI builder with specific instructions from the report.
• Hand it to your team or another developer as a ready-made, prioritised task list.
• Hire me to fix it, either hourly or as a fixed-price project. If your app needs broader work to get launch-ready, my AI-built app takeover service covers exactly that, and for ongoing feature work there's Next.js development.

The audit fee is the same whichever option you choose. There's no obligation to hire me afterwards, and the report is written to be useful to anyone.

You can compare the audit with my other options on the pricing page, or get in touch if you'd like to ask a question before booking.