Built something and want a pro to check it?
AI can list issues. I tell you what actually matters for your customers and your launch. Security, architecture, and readiness from someone who has been shipping for two decades.
~ Tell me about your project
How an App Review works
A focused senior review with a clear trail in the client portal, from access to prioritized next steps.
You share the app
Give me read-only access to the project and a short walkthrough of what it is supposed to do, who uses it, and what "success" looks like for your business.
You do not need to be technical. I will ask the right questions so the review is grounded in your real customers, not a generic checklist.
I review like a senior, not a linter
I look at security, access control, architecture, and launch risk the way a production engineer would: who can see what, where secrets live, and what will break when real people show up.
This is not an AI dump of every possible nit. You get judgment: what matters for your business, what can wait, and what is genuinely dangerous.
You leave with a clear plan
You get a written summary with prioritized findings (must fix, should fix, later) plus a debrief call to walk through everything in plain language. Quick Scan includes 60 minutes; Deep Review includes 90 minutes plus a follow-up Q&A.
The goal is launch confidence: know what to do next, in what order, and why it matters for your customers. If you want help doing the work, we can keep going from there.
What I bring to the table
Not a generic scan. Senior security, architecture, and launch judgment tailored to your app and your customers.
Security & Access
Logins, permissions, secrets, and "who can see what." The stuff that gets expensive if it is wrong.
Architecture & Reliability
Will this hold up when real customers use it, or fall over under everyday load and growth?
Code That Ages Well
Is the foundation solid enough to maintain and grow, or will small changes get expensive fast?
AI-Built Blind Spots
Patterns that look fine to a model but fail in production: auth gaps, brittle structure, risky shortcuts.
AI Tooling Costs
If AI is part of the product, are you burning money on wasteful usage or risky prompts?
Go-Live Readiness
Backups, monitoring, error handling, and a clear path to launch with confidence.
Who It's For
Business Owners
You have a site or app customers rely on, and you want a pro to confirm it is safe and solid before you bet the business on it.
AI Dabblers
You built something with AI tools and need an experienced engineer to catch what the tools missed, then tell you what to fix first.
Teams Shipping Fast
The product grew faster than review time. You need a senior second opinion before launch, not another automated report.
Pricing
Start with a review for clarity. Stay for the build when you want the same person to do the work.
Quick Scan
4 focused hours of senior judgment
Launch confidence, not a lint dump.
$750
- Security & access control review (logins, permissions, secrets, data exposure)
- Architecture & reliability red flags that matter for launch
- AI-built patterns that look fine but fail under real use
- Prioritized fix list: must / should / later
- Written summary in plain language
- 60-minute debrief call so you leave with a plan
Deep Review
1-week comprehensive audit
Production hardening for apps that need to last.
$4,500
- Everything in Quick Scan, with more depth and coverage
- Full security audit and threat-minded walkthrough
- Scalability & architecture review
- Dependency hygiene analysis
- Deployment & monitoring review
- Detailed written report
- 90-minute debrief call
- Follow-up Q&A session after you dig in
Ongoing Help
When the review turns into real work
I find the issues. Then I can fix them with you.
Hourly or retainer
- Start from your review findings, or skip straight to hands-on help
- Hourly for builds and fixes where scope evolves
- Monthly retainer for consistent senior access
- Same tickets, portal, and communication as consulting
- Best when you want the reviewer to become the builder
FAQ
- How is this different from asking ChatGPT to review my code?
- AI is great at listing generic issues. It does not know your customers, cannot judge business risk, and will not sit on a call and tell you what to do first. I will. You get prioritized judgment from someone who has been shipping production systems for two decades.
- What do you need from me?
- Read-only access to your project and a short walkthrough call so I understand what you're trying to do. You don't need to be technical. I'll ask the right questions.
- How long does it take?
- Quick Scan is delivered within 2 business days. Deep Review within 5 business days of receiving access.
- What do I get back?
- A written summary with prioritized findings (must / should / later) and plain-language recommendations, plus a debrief call (60 minutes for Quick Scan, 90 minutes for Deep Review). Deep Review also includes a follow-up Q&A after you have had time to dig in.
- What's the difference between Quick Scan and Deep Review?
- Quick Scan is focused launch confidence: the highest-risk security, architecture, and readiness issues in a tight window, with a 60-minute debrief. Deep Review is a full week of production hardening with deeper coverage, a longer report, a 90-minute debrief, and a follow-up Q&A.
- What if I want you to fix the issues too?
- That is the natural next step. After the review (or instead of a one-shot audit), we can move into hourly or retainer work so I implement the plan with you. Same tickets and communication as consulting. Many clients start with a review and stay for the build.
- Do I need a special portal for App Review?
- No. Reviews run through the same client portal and tickets as everything else. You get a clear place to share access, ask questions, and track what comes next if we keep working together.
- Is my code kept confidential?
- Absolutely. I sign NDAs on request and never share or retain code after the engagement.
- What if I built this with AI?
- That's a common starting point. I review AI-built and hand-built apps the same way: security, architecture, and whether it's ready for real customers. AI-built code often needs exactly this kind of senior pass.
- What tech stacks do you review?
- I'm strongest in Laravel/PHP and Vue/JS, but the principles (security, architecture, quality) apply broadly. I'll flag if a codebase is outside my depth.
Ready for a senior second opinion?
Get launch confidence first. If you want help shipping the fixes, we can keep going from there.