Vibe-coded it. Now let’s engineer it.
We turn AI-built websites, SaaS products, ERPs, and mobile apps into production-ready software. We also review their security and harden mobile apps against reverse engineering and tampering.
Free initial review.
Move your cursor over the backgroundTap the background: the dots fall into line, the way your code does with us.
- app
- dashboard
- page.tsx(everything)
- components
- Table.tsx
app/dashboard/page.tsx
const API_KEY = "sk_live_REPLACE_ME"; export default function Dashboard() { const [users, setUsers] = useState([]); useEffect(() => { (async () => { const rows = await db.query("SELECT * FROM users"); for (const u of rows) { u.orders = await db.query( `SELECT * FROM orders WHERE user_id = ${u.id}` ); } setUsers(rows); })(); }, []); return <Table rows={users} />;}Prototype state notes: secret in source, N+1 loop, no error handling
Prototypes prove ideas. Production keeps them alive.
AI tools get you to a working demo fast, and that is real progress. A demo proves the idea. Real users test everything else, and these gaps show up as usage grows.
Demo: You and a few testers. Everything seems to work.
Launch: Real users and real data. Access rules, secrets and blind deploys start to matter.
Growth: More data, traffic and changes. Now the structure itself strains.
architecture
Architecture that strains at scale
A structure that worked for 10 users starts to creak at 1,000.
performance
Slow pages and heavy queries
Unindexed or N+1 queries make pages crawl as data grows.
security
Authentication and authorization gaps
Who can see and change what is not enforced everywhere it should be.
Secrets, config, and environments
Keys live in code or are copied by hand between environments.
reliability
No tests, so every change is a risk
Fixing one thing can quietly break another.
Deploys, logs, and errors you can't see
Releases are manual, and customers find failures before you do.
A security review for AI-built code.
AI tools ship working features, often without the access rules, secrets handling, and database protections production needs. We review web and mobile apps for those gaps, fix what we find, and add tests so the fixes hold.
RequestGET /api/invoices/1042from a signed-in customer, for someone else’s invoice
- Customer recordsuntouched
403 Forbidden. Authorization stops it: invoice 1042 belongs to another customer.
Authorization
Checks: Confirms this user, in this role, may reach this exact record or action.
Select a gate to see what it checks.
The review covers every gate above, plus
- Injection in SQL and NoSQL queries
- Dependencies and known-vulnerable packages
- File uploads, webhooks, and payment callbacks
- CORS and security headers
What you receive
- Written findings, ranked by severity
- Fixes or pull requests for the issues found
- Regression tests that keep them fixed
A security review reduces risk and fixes known issues; it can’t guarantee that software is free of vulnerabilities.
Request a security reviewMobile application security and hardening
Attackers can unpack a mobile app, change it, or run it on a compromised device. We assess Android, iOS, and Flutter apps and strengthen how they protect their code, keys, and data. The right controls depend on your app and its risk.
Application hardening
Release configuration, obfuscation, and safeguards that make reverse engineering and unauthorized changes harder.
Runtime and device risk signals
Detecting debugging, hooking, tampering, and rooted or jailbroken devices, with responses matched to risk.
Keys and sensitive data
Platform-backed key storage, cryptography, local storage, and sensitive data left in memory.
Mobile application assessment
Common attack surfaces: insecure storage, network traffic, app configuration, and client-side assumptions.
API and session security
Token handling, and authorization the backend enforces itself instead of trusting the app.
Senior engineering, scoped to what your product needs.
Every engagement starts with a review of your codebase. Each gap we find maps to one of these.
The gap: Code that creaks as it grows
Refactoring and architecture
Restructure AI-generated code into clear modules and boundaries.
What you get: A structure your team can understand and extend.
The gap: No clear path from demo to launch
Production readiness
Rank the technical debt and fix what blocks launch first.
What you get: A prioritized path from prototype to launch.
The gap: Slow pages and heavy queries
Performance and databases
Find the slow requests, fix N+1 queries, add the right indexes.
What you get: Faster pages and queries that hold up under load.
The gap: Access gaps and exposed secrets
Application security and hardening
Web and mobile reviews: authentication, access control, app integrity.
What you get: Reduced exposure and clearer access rules.
The gap: Every change might break something
Testing and reliability
Tests, bug fixes, CI, monitoring and repeatable deploys.
What you get: Changes you can ship without fear.
The gap: No senior engineer to ask
Ongoing engineering
Continued engineering and new feature work.
What you get: A senior engineering partner as you grow.
Where your software runs.
Web, mobile, and the backend they all share. Pick one to see what we check first; we confirm fit after reading your code.
Business systems, ERP, internal tools
Back-office software that runs day-to-day operations.
Typical concerns
- data model
- roles
- reporting
- audit trail
Usually built with
APIs, integrations, and databases
Backend services, third-party integrations, and the data underneath.
Typical concerns
- schema
- indexes
- contracts
- queues
Stacks we engineer in.
Under each technology, the part we look at first in a review.
Pick a platform in the map above to mark the stack it is usually built with.
Frontend
ReactAngular
XSS and secrets in the client bundle
Next.js
API routes, server actions, and auth checks
Remix
Loader and action authorization
Vue.js
Component state exposure, template injection, client storage
Svelte
Reactive state mutations, SSR hydration, client storage
Vanilla HTML/CSS/JS
Client-side secrets and injection
Mobile
FlutterKotlinSwift
Secure storage and API token handling
Backend
ASP.NET Core
Authentication middleware, authorization policies, antiforgery
Node.js
Dependency risk and input validation
NestJS
Guards, validation, and role checks
Express.js
Middleware ordering, input sanitization, error handling
Django
ORM query safety, middleware security, admin access
FastAPI
Pydantic validation, dependency injection auth, CORS
Spring Boot
Security filter chains, method security, actuator endpoints
Laravel
Policies, mass assignment, validation
Backend platforms
Firebase
Security rules and API key exposure
Supabase
Row Level Security policies
Appwrite
Permissions and API keys
Databases
PostgreSQL
Roles, permissions, query safety
MySQL
Injection and privilege scope
MongoDB
Query injection and access rules
What a refactor changes, in code.
Three common patterns in AI-built apps and how we would restructure them. Simplified for reading.
lib/posts.ts
const posts = await db.post.findMany(); for (const post of posts) { post.author = await db.user.findUnique({ where: { id: post.authorId }, });}// The database does the join, onceconst posts = await db.post.findMany({ include: { author: true }, orderBy: { createdAt: "desc" }, take: 50,}); return posts;What goes wrong
What the refactor changes
app/api/projects/route.ts
export async function DELETE(req: Request) { const { projectId } = await req.json(); const session = await getSession(req); if (!session) return new Response(null, { status: 401 }); await db.project.delete({ where: { id: projectId } }); const { projectId } = DeleteBody.parse(await req.json()); const project = await db.project.findFirst({ where: { id: projectId, ownerId: session.userId }, }); if (!project) return new Response(null, { status: 404 }); await db.project.delete({ where: { id: project.id } }); return Response.json({ ok: true });}What goes wrong
What the refactor changes
lib/invoices.ts
async function saveInvoice(data) {async function saveInvoice(data: InvoiceInput) { const res = await fetch("/api/invoices", { method: "POST", body: JSON.stringify(data), }); const invoice = await res.json(); showToast("Saved!"); if (!res.ok) { logger.warn("invoice.save_failed", { status: res.status }); throw new SaveError(res.status === 422 ? "invalid" : "unavailable"); } const invoice = InvoiceSchema.parse(await res.json()); showToast("Saved"); return invoice;}What goes wrong
What the refactor changes
Five steps, each with something you can hold.
Small, reviewable changes at every stage, so you always know what changed and why.
Audit
We review code, architecture, data model, and deployment setup, and set a security baseline for access rules, secrets, and database protections.
You getWritten findings, including security findings
Prioritize
We rank issues by risk and business impact.
You getA scoped plan
Refactor
We restructure in small, reviewable changes.
You getClean, documented commits
Test
We add tests around the critical paths.
You getA safety net
Deploy
We set up repeatable releases and monitoring.
You getA production-ready pipeline
What you receive.
The written and working output of an engagement, so the knowledge stays with your team.
In your repository
- Refactored, reviewable pull requests
- Fixes for the security findings, with regression tests
- Test coverage on critical paths
- Deployment and environment documentation
In writing
- Written codebase review with prioritized findings
- Security findings ranked by severity
- Architecture notes
- Security and performance recommendations
A handover walkthrough
We walk your team through what changed and why, and answer their questions.
Questions, answered plainly.
Can you work with my existing codebase?
Yes. Most of our work starts from code that already exists. We are most at home with TypeScript and JavaScript (React, Next.js, Node), Flutter, Kotlin, Swift, and SQL databases. If your stack is different, send it with your request and we will tell you honestly whether it is a fit.
Do you work on AI-generated code? Do I have to stop using AI tools?
Yes, and no. AI tools are a real productivity multiplier and you should keep using them. Our job is to make the codebase a safe, well-structured foundation so that whoever builds next, human or AI, is not working against it.
How do you handle security and confidentiality?
Access is scoped to what the work needs and follows least privilege. An NDA is available on request. We review authentication, authorization, and secrets handling as part of the work, and we do not claim certifications.
Can you guarantee my software is free of vulnerabilities?
No. A security review reduces risk and fixes known issues; it can’t guarantee that software is free of vulnerabilities. What you get is written findings ranked by severity, fixes for what we find, and regression tests so the fixes stay in place.
How long does it take?
Scope and timeline depend on codebase size. We give a fixed estimate after the initial review.
How much does it cost?
Cost depends on the size and condition of the codebase and the scope you choose. We quote after the initial review, so you decide with real findings in hand.
What access do you need?
Read access to the repository first. After that, staging before production, and only if the scope needs it. Please never send passwords, API keys, or other secrets through the contact form; we will agree a safe way to share anything sensitive.
Get your codebase reviewed.
Tell us what you built and what is going wrong.