Base44 · Replit · Lovable · Bolt · v0 · Cursor

Your app works.
Now make it production-ready.

AI app builders take you from idea to working app faster than any team could two years ago. What they don't do is check the app the way a production team does before launch. That check is our production-readiness review: senior engineers go through every layer — security, architecture, scale, frontend, AI calls, the database, the cloud setup — against the public standards production teams use. Then we fix what matters and leave you the documentation.

The review · Nine layers, each with a standard

Standards, not
opinions.

“Production-ready” is not a feeling. Every finding we report cites the public standard it fails, so you can check our work — or hand it to another engineer and they can check it too.

Security

Is it secure, or just working?

  • Login, sessions and password reset
  • Access rules enforced on the server, on every table and endpoint — not just hidden buttons
  • Secrets out of the browser bundle and the repo
  • Input validation and rate limits on login and costly endpoints
  • Known vulnerabilities in dependencies

Measured against → OWASP Top 10 and OWASP ASVS

Architecture

Can the next feature land without breaking three others?

  • Where business logic lives, and whether it lives in one place
  • Code the builder regenerated instead of reusing
  • Shared components and types instead of copies with small drifts
  • Config kept out of code
  • Tests on the paths that touch money and data

Measured against → The Twelve-Factor App

Scalability

What breaks first at real traffic?

  • The slowest requests and why they are slow
  • Work done inside a request that belongs in a background job
  • Caching, connection pooling and repeated calls
  • Retries, timeouts and what users see when something fails
  • A load test against a traffic number you choose

Measured against → A load test at your target traffic — not a guess

Frontend

Fast, consistent and usable by everyone?

  • React, Vite, TypeScript and Tailwind set up the way the tools intend
  • Bundle size, code splitting and wasted re-renders
  • Reusable components and design tokens instead of one-off classes
  • Loading, error and empty states on every screen
  • Keyboard and screen-reader access

Measured against → Core Web Vitals (LCP, INP, CLS) and WCAG 2.2 AA

AI integrations

Reliable, safe and priced per user?

  • API keys on the server only
  • Prompt injection paths and what the model can reach
  • Model output checked before the app acts on it
  • Timeouts, retries and a fallback when the provider is down
  • Token cost per user, spending caps and caching of repeated calls

Measured against → OWASP Top 10 for LLM Applications

Database

Will PostgreSQL hold up as the data grows?

  • Schema, relations and constraints that match the product
  • Indexes for the queries the app actually runs
  • Row-level security and tenant isolation
  • Migrations in version control, not changes made by hand
  • Backups, and a restore that has been tested

Measured against → PostgreSQL query plans (EXPLAIN ANALYZE) and Postgres row-level security

Cloud infrastructure

Can it deploy, roll back and recover?

  • GCP, AWS, Vercel or Supabase set up for production, not the free-tier defaults
  • Least-privilege access and a secrets manager
  • Separate staging and production
  • CI/CD with a one-step rollback
  • Billing alerts before a surprise invoice

Measured against → Google Cloud Architecture Framework and AWS Well-Architected

Observability

Would you know if it broke right now?

  • Error tracking that reaches a person
  • Structured logs with no personal data in them
  • Uptime checks on the paths users depend on
  • Alerts on latency, errors and capacity

Measured against → The four golden signals from Google’s SRE practice

Documentation

Could another engineer pick this up tomorrow?

  • A README that gets a new engineer running in under an hour
  • An architecture overview and the reasons behind key decisions
  • A runbook: deploy, roll back, handle an incident
  • A log of what we changed and why

Measured against → A new engineer can run it, deploy it and fix it from the docs alone

What this is not: a penetration test or a compliance certificate. If your buyers need a pen test, SOC 2 or ISO 27001, we tell you when, and get the code ready for it.

What you get · Findings, fixes, documentation

A report you can act on.
Fixes you can see.

1

A findings report, ranked by severity

Every finding names the file, the standard it fails, why it matters in money, data or users, and what fixing it takes. Plain English first, technical detail underneath. Also a list of what is already solid — there always is some.

2

Fixes, in your repo

If you want us to fix it, the Production-Hardening Sprint works through the report in priority order. Code lands in your repository daily. Hourly or fixed, and you pay only after you see the work.

3

Documentation of what changed

A written handover with every sprint: what we changed, why, how to run it, how to deploy and roll back. Nothing lives only in our heads.

4

A roadmap for what comes next

What to fix this week, this month and this quarter — and what to avoid as you build. Yours to keep, and written so any engineer can follow it, not only us.

Start here · Fixed price

It starts with the audit:
from $995.

A senior engineer reads your whole app and delivers the written report in five business days — fixed from $995 or hourly at $60/hr, and you pay for it after you get it. If you go ahead with fixes, the sprint is scoped and estimated from the report, billed hourly or fixed, paid after you see the work — and the audit fee is credited in full. If you don't, the report is still yours — hand it to any engineer you trust.

Book a production-readiness auditSee the full offer ladder
Common questions

Do I need to rebuild an app made with Base44, Replit or Lovable?

Usually not. App builders get the product shape right and the screens working; the gaps sit in predictable places — access rules, secrets, database indexes, error handling, deployment, monitoring. Those are fixed in place. The review tells you in writing which parts are sound, which need fixing, and whether any part genuinely needs rebuilding. When it does, we say why, and what it costs.

Which AI app builders do you work with?

Base44, Replit, Lovable, Bolt, v0, Cursor, and apps prompted by hand with ChatGPT or Claude. If you can export the code or connect it to GitHub, we work in your repository. Some builders host the database and login for you; then part of the review is a plain answer to whether the app should stay on the platform, and what moving off would take.

Will you change my stack?

Not by default. React, Vite, TypeScript, Tailwind, PostgreSQL, Supabase, GCP, AWS, Vercel — we work in what you have. We recommend a change only when the current stack cannot carry the product, and the report says exactly why. Moving stacks is expensive; it has to earn its place.

Is this a penetration test or a compliance certificate?

No. It is an engineering review against public standards — OWASP for security, Core Web Vitals and WCAG for the frontend, the cloud providers’ own architecture frameworks for infrastructure. It finds the problems a senior team would catch before launch. If your buyers need a pen test, SOC 2 or ISO 27001, we tell you when you need it and get the code ready for it, but we do not issue certificates.

What does it cost and how long does it take?

The review starts as our Code Audit: fixed from $995 or hourly at $60/hr, written report in 5 business days. If you want us to fix what it finds, the Production-Hardening Sprint is scoped and estimated from the report. You choose hourly ($60/hr) or a fixed price per sprint, invoiced weekly, bi-weekly or monthly, and you pay only after you see the work. The audit is invoiced after you get the report, and its fee is credited in full against that sprint.

Going deeper: what breaks when AI builds your app, or how engagements work.