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WEB DEVELOPMENT

Your AI-Generated App Works in Demo Mode. Real Users Will Break It in 48 Hours.

If you're a founder who shipped your MVP with Bolt or v0, you've already seen the walls: broken auth, state that doesn't persist, API keys in client code.

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WEB DEVELOPMENT AT A GLANCE
  • Next.js
  • React
  • Supabase
  • Vercel
  • TypeScript
  • Zod
  • 95+LIGHTHOUSE AVG
  • 12+ yrsSENIOR-LED
  • Fixed feeNO SCOPE CREEP
  • 200+PROJECTS SHIPPED
CLUTCH 5.0 VERIFIED

Overview — 01

We take your AI-generated prototype past the 70% mark -- fixing broken state, hardening security, and shipping production-grade code.

AI Prototype Production Audit

An AI prototype production audit is a structured technical review and remediation of applications generated by tools such as Bolt, v0, Lovable, or Cursor. It covers security hardening, state and data persistence, API surface exposure, and performance bottlenecks that AI builders routinely leave unaddressed. The output is a production-ready codebase with documented architecture decisions, not just a list of findings.

The gap — 02

What is holding your current website back?

Common gaps we find in nearly every audit.

API keys and service credentials are referenced directly in client-side code, which means any user who opens DevTools can extract them.
Risk: Exposed credentials lead to unauthorized API usage, unexpected billing, data exfiltration, and potential account termination from your service providers before you catch it.
Authentication state is stored in component memory or localStorage without server-side validation, so a page refresh or tab close logs users out and a determined attacker can forge sessions.
Risk: Broken auth is the most common reason AI-built apps fail security review, get rejected by enterprise buyers, or suffer account takeovers in early production.
The app works end-to-end in a single happy-path demo but has no error handling, retry logic, or loading states for real network conditions, concurrent users, or unexpected API responses.
Risk: First impressions with real users are permanent. An app that throws unhandled exceptions or displays blank screens in production signals amateur execution regardless of how good the underlying idea is.

Safeguards — 03

How we build this right

Every safeguard, built in from Day 1.

Secret and Credential Isolation

All service keys, tokens, and environment variables are moved server-side and verified against OWASP guidelines for secret management. Client bundles are audited to confirm no sensitive values survive the build process.

Authentication and Session Integrity

Auth flows are validated against server-rendered session checks rather than client state alone. Token expiry, refresh logic, and route protection are implemented to meet standard SaaS security expectations.

Dependency and Supply Chain Review

AI builders often pull in packages without audit. We run a full dependency review, flag known CVEs, remove unused packages that widen your attack surface, and lock versions for reproducible builds.

Scope — 04

What we build

Purpose-built features for your industry.

Security Hardening Pass

We systematically work through the OWASP Top 10 as applied to your specific stack, fixing injection vectors, misconfigured CORS policies, missing rate limiting, and any credentials or tokens exposed in the client bundle.

State and Persistence Architecture

Ephemeral in-component state is replaced with a durable data layer appropriate to your stack. This includes database schema review, server-side session management, and optimistic UI patterns that survive network interruptions.

Performance and Load Readiness

We profile your app under simulated concurrent load, identify N+1 query patterns, unindexed lookups, and missing caching layers, then implement the fixes needed to hold response times below acceptable thresholds at launch scale.

Error Handling and Observability

Production applications need to fail gracefully and tell you when they do. We add structured error boundaries, user-facing fallback states, and integrate logging and alerting so you know about issues before your users report them.

Stack — 05

Built on a modern, secure stack

Next.jsReactSupabaseVercelTypeScriptZodPlaywrightTailwind CSS

Process — 06

Our development process

From discovery to launch. Quality at every step.

01

Codebase and Architecture Intake

1 week

You give us repository access and a walkthrough of your current demo. We run automated scans and a manual review to produce a prioritized findings document covering security, state management, API design, and build configuration.

02

Security and Credential Remediation

1-2 weeks

We fix the highest-risk issues first: secrets moved server-side, auth flows validated, input sanitization added, and CORS and CSP headers configured correctly. Each change is committed with an explanation of what was broken and why.

03

Architecture Refactor and Data Layer Stabilization

2 weeks

Brittle state patterns are replaced with durable alternatives. Database access is consolidated into a clean service layer, queries are optimized, and the application is tested against realistic concurrent user scenarios.

04

Production Readiness Handoff

1 week

We deliver the hardened codebase alongside a deployment checklist, environment variable documentation, and a recorded walkthrough of every architectural decision made. Your team can maintain and extend the code without reverse-engineering our changes.

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Related resources — 07

Questions — 08

Frequently asked questions

Usually, yes. Lovable generates clean React with Supabase, which gives us a solid foundation to work from. We audit every file and only rewrite what's actually broken. Most Lovable projects need 30-40% refactoring, not a full rewrite. The Zod validation and react-hook-form patterns it generates are typically fine -- it's the state management, auth flows, and missing RLS policies where things fall apart.
Bolt degrades after roughly 15-20 components. It starts forgetting established conventions, duplicates logic, and introduces naming inconsistencies. Better prompts won't fix this -- it's a fundamental limitation of the context window. We restructure the codebase into proper feature modules so both human developers and AI assistants can maintain it going forward.
No, not without a manual audit. All three platforms -- Lovable, Bolt, and v0 -- can produce code with real security issues. Exposed API keys, missing RLS policies, unvalidated user inputs, broken auth flows -- we see these regularly. We run automated scanning and manual penetration testing before anything goes to production.
A standard audit runs 3-4 weeks from repo access to production deployment. Week one: triage and security fixes. Week two: architecture restructuring. Week three: tests and performance work. Week four: deployment pipeline and documentation. Apps with multiple integrations may need 5-6 weeks.
Absolutely. The 30% AI builders consistently miss includes custom business logic, complex third-party integrations, proper role-based access control, real-time features, payment processing, and error handling that accounts for edge cases. These require human judgment that prompt-based tools just don't have.
It depends on your team. Lovable works best for non-technical founders who need a full-stack prototype fast. Bolt suits experienced developers who want IDE-level control. v0 produces the best UI components but leaves everything else to you. Most successful projects combine tools -- prototype in Lovable, then bring us in to ship to production.

More solutions — 09

Explore related industries

Need enterprise scale?

200+ employee company? Complex multi-tenant, auction, or multi-location requirement? We have a dedicated enterprise capability track.

View Enterprise Hub

Get started — 10

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