Can users see data that isn’t theirs?
Logins, permissions and the database rules (Supabase RLS, Firebase rules) AI tools often leave open.
You built it with AI, and it works. I’ll look at what could go wrong when real users arrive, where unexpected costs might appear, and how the experience could be better. You’ll walk away knowing what’s working, what needs attention, and what’s worth improving next.
AI coding tools are excellent at getting you from a blank page to a working product. Working is not the same thing as ready.
I review your live app and your code. Not every area applies to every app. Your report covers the ones that do, with every finding prioritized.
Logins, permissions and the database rules (Supabase RLS, Firebase rules) AI tools often leave open.
Stripe webhooks, double submissions, retries and rate limits.
Refreshing mid-checkout, going back, retrying, or arriving from an old link.
Error alerts, exposed keys, and spending limits on AI and other usage-billed services.
Core flows, mobile layouts, error states and confusing moments.
AI calls, hosting and services that could cost less without users noticing.
Onboarding, emails that reach the inbox, analytics and link previews.
What will slow your next features down, and what’s fine as it is. No premature rewrites.
The report uses the checklist’s urgency and next-step labels, and it also rates risk. Fixes you can safely make yourself come with a prompt to hand back to your AI tool. Riskier ones come with why they’re risky and a safe step you can take today.
Illustrative example, not a finding from a client audit.
Included: a product review of your live app, a code review, a written report with every finding prioritized and labeled, and a 45‑minute walkthrough call.
You show me what you built, where you are in the launch process and what you’re most unsure about.
You share the live app and your code, whichever way is easiest: a GitHub invite, a ZIP download, or your Lovable or Bolt project. Not sure how? We'll sort it out on the call, and I'll send a short checklist.
I review your app and code for reliability, product quality, architecture and growth readiness. I distinguish confirmed problems from areas that need more checking.
We discuss what works, what to improve next, what can wait, and what you can tackle with AI versus experienced help. You’ll know where to focus and why.
For small web apps and MVPs, roughly up to 20 core screens. Larger apps are scoped separately.
Why a founding price? I’m opening five audits at this price while I build my first case studies. You get a senior review for less; I ask for honest feedback and, if it helped, a short testimonial.
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I’m a senior software engineer with experience across frontend, backend, APIs, authentication, data and product UX. I’ve shipped inside larger engineering teams, owned systems end-to-end and built a product from zero as a co-founder.
I use AI coding tools every day, and they’re incredibly useful. What I care about is the gap between a convincing first draft and software you can actually trust. I’m keeping this small on purpose: a handful of audits, done carefully.
Yes, that’s who it’s written for. I explain what I checked, what the evidence shows, and what to do next in plain English. Fixes you can safely make yourself come with a prompt you can hand back to your AI tool.
Sometimes you don’t need to. AI can review code and handle many fixes. I bring the perspective of someone who’s shipped and maintained real products: what’s worth improving, which shortcuts are fine for now, what could become a problem as you grow, and how to verify important changes. AI will also confidently make changes that are hard to undo. I tell you which ones those are before you make them.
However you're comfortable. You can add me on GitHub for the week and remove me when the report's done, or send a ZIP copy instead. I only read your code, never change it, and I never need your passwords or live API keys. For settings like backups and spending limits, I'll ask for a screenshot or a team invite you can remove afterward. When the audit's done I delete my copy, and I'm happy to sign an NDA.
Most web apps built with Cursor, Claude Code, Lovable, Bolt, Replit or v0: typically React or Next.js with Supabase, Firebase or a Node backend, and Stripe for payments. If you’re on something else, ask on the intro call.
Usually, yes. Most of these tools can sync your code to GitHub. We’ll check on the intro call before you pay anything.
Then you’ll know it, with evidence. The report shows exactly what I checked, what I couldn’t check, and what’s working, plus the few improvements worth your time. I won’t recommend changes you don’t need.
The audit is the review, not the fixes. Many issues are quick to fix yourself with the report. If you’d rather hand them off, we can scope a Fix + Ship Sprint, and the audit fee is credited toward it.
Not ready yet? Follow @lauraq.dev for short tips on what AI gets wrong.