For founders shipping AI-built software

AI-Built App Launch Readiness Reviews

Get a practical technical review before customers, investors, or production traffic find the weak spots. vibeCleaners identifies fragile code, security gaps, scaling risks, and the fixes that matter first.

3-5 days
typical turnaround
$250
pilot reviews
$500
standard reviews

AI can get your app working. It does not prove the app is ready.

Generated software often passes the demo path while hiding weak auth boundaries, missing validation, brittle deployment setup, duplicated business rules, and unclear data risk. The review gives you a clear fix order before launch pressure makes every decision more expensive.

A practical pass across the places vibe-coded apps usually break.

Security and privacy

Auth, permissions, secrets, client/server trust boundaries, data exposure, and dependency risk.

Data and correctness

Validation, schema design, migrations, critical writes, business rules, and edge cases.

Architecture

Generated code sprawl, module boundaries, duplicated logic, coupling, and maintainability.

Scalability

Expensive queries, background work, caching, bottlenecks, and paths from MVP to real usage.

Operations

Environment setup, deploys, rollbacks, logs, error monitoring, CI, and production readiness.

Product risk

Critical user flows, launch blockers, user-visible failure modes, and what can safely wait.

Start with a bounded review. Turn findings into fixes when needed.

First 2 customers

Pilot Review

$250

A discounted launch readiness review in exchange for permission to use an anonymized testimonial or case study.

Ask about pilot

Follow-on work

Stabilization Sprint

$1,200+

Implementation support for the highest-priority findings: tests, hardening, refactors, deployment, or scaling work.

Scope a sprint

Prices are starting points, not the final number. After a quick look at the app's size and stack, you get a fixed quote confirmed in writing before any payment — no open-ended billing, no surprises.

You get a fix order, not a pile of vague cleanup notes.

The report separates confirmed risks from assumptions, explains customer impact, and turns findings into a roadmap for launch, the next 30 days, and later scaling.

View sample report
Priority Area Action
1 Security Enforce server-side admin checks.
2 Data Add validation to critical writes.
3 Ops Add structured error tracking.
4 Code Consolidate duplicated business rules.

Simple enough to start this week.

  1. 01

    Intake

    Share the app, repo access, goals, stack, deadlines, and known concerns.

  2. 02

    Review

    I inspect critical flows, code structure, security boundaries, data, deployment, and operations.

  3. 03

    Report

    You receive prioritized findings with evidence, impact, effort, confidence, and recommended fixes.

  4. 04

    Stabilize

    If useful, the highest-priority findings become a focused implementation sprint.

A real engineer reads your code — not a script.

Russel Waters — the engineer who reads your app.

I've spent roughly 15 years building and operating production software — most recently designing real-time data systems that move 200TB+ at sub-millisecond latency, and as a senior infrastructure engineer hardening Kubernetes platforms, CI/CD, and observability. Earlier I was Lead DevOps at NowSecure, a mobile app-security company, and have implemented the OAuth2/OIDC auth systems that apps most often get wrong.

The review is the same pass I'd run on my own code before handing it to real users: where the trust boundaries leak, what falls over under load, and what's quietly unmaintainable. I write about exactly this — the gap between "it works" and "it's ready" — at blog.argakiig.xyz.

Read-only by default

Access is scoped to the minimum needed — read-only repo access or a shared snapshot. No write access, no production credentials.

Your code stays yours

Your code is used only to perform your review. It is not shared, published, or reused. Access is revoked once the report is delivered.

NDA on request

Happy to sign your NDA before you share anything, or use a mutual one. Just say so in the request and we sort it before access.

Notes on the gap between "it works" and "it's ready."

"It works" is not "it's ready."

The demo is the easy 80%. Where AI-built apps actually break before launch — and why it becomes a trust problem, not a code problem.

Direct answers for founders with AI-built apps.

What is a launch readiness review?

A practical technical review before real users rely on the app. You get risk-ranked findings, evidence, launch blockers, and a prioritized fix roadmap.

Is this a security audit?

It includes security and privacy review, but it is not a formal penetration test or compliance certification.

Do I need a phone call?

No. The default flow is async: request form, email clarification, scope confirmation, review, and written report.

What tools and apps are a fit?

Apps built with AI-assisted tools like Cursor, Lovable, Bolt, Replit, Claude, ChatGPT, or similar workflows are a strong fit.

What do I get?

A written report covering security, data, architecture, operations, scalability, maintainability, launch blockers, and what to fix first.

Can you fix the issues too?

Yes. If the review identifies high-priority fixes, those can become a separate stabilization sprint.

Tell me what you built and what you are worried about.

This form is intentionally short. After you send it, the next step is confirming scope, access, timing, and whether a launch review or stabilization sprint is the right fit by email.

Prefer email? Send details to [email protected]. Payment is handled manually after scope is confirmed.

If the app works but you are not sure it is ready, get it reviewed before launch.

Request a launch readiness review