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SaaS & AI App Scaling
Lovable RescueBolt.new Scalingv0 Production

AI App Builder Production Audit & Scaling

Your AI Builder Hit a Wall Before You Could Ship to Real Users

70→100%
Completion Gap
We close it
15+
AI Codebases Shipped
To real production
95+
Lighthouse Score
Post-optimization
<48h
Audit Turnaround
Full codebase report
What Production Audits Fix — And What AI Builders Leave Broken

Your Lovable export ships. Your team opens the codebase. Auth flows stall on edge cases. Database queries leak user data through misconfigured RLS. Memory spikes under 50 concurrent sessions. This is the gap between a prototype that works in a demo and an app your business can actually scale. An AI app builder production audit is a structured code review of Lovable, Bolt.new, or v0 output. We surface security vulnerabilities, architectural drift, missing test coverage, and performance bottlenecks blocking you from shipping to real users. We restructure the generated code into an architecture your team can maintain, test, and scale without burning credits on infinite debugging loops.

Onde os projetos falham

Lovable burned through all your credits debugging a single auth flow You're stuck with a broken login and no way to iterate without spending more.
Bolt's context window degraded after 20 components and the code is drifting Duplicate logic, naming inconsistencies, and architectural rot pile up with every prompt.
v0 gave you beautiful components but no backend or data layer You've got a design system with no application — backend integration is entirely on you.
Generated code has no test coverage Every new feature risks breaking what already works, with nothing to catch it.
Supabase Row Level Security policies are missing or misconfigured User data is exposed — one API call can leak another user's records.
The prototype holds up on demo day but crashes under 50 concurrent users Real traffic exposes unoptimized queries, missing indexes, and memory leaks.

Conformidade

Full Codebase Audit

Line-by-line review of AI-generated output. We classify every file as solid, needs refactoring, or requires a complete rewrite.

Security Hardening

Fix exposed API keys, missing RLS policies, broken auth flows, and unvalidated inputs. We run both automated scanning and manual penetration testing.

Architecture Stabilization

Eliminate duplicate code, enforce consistent patterns, and restructure component trees. Stop context-window drift from compounding.

Test Suite Implementation

Add unit tests, integration tests, and end-to-end coverage with Playwright. Ship with confidence instead of hope.

Performance Optimization

Optimize database queries, add proper indexes, implement caching, and eliminate render waterfalls. Hit 95+ Lighthouse consistently.

Production Deployment Pipeline

Set up CI/CD, staging environments, error monitoring, and automated deployments. No more one-click deploys with crossed fingers.

O que construímos

Restructure your Lovable React + Supabase codebase into maintainable, testable architecture

Your team can ship features without risking breaks in existing flows

Recover architectural consistency lost to Bolt's context window degradation

Your codebase follows consistent naming and logic patterns across all components

Connect your v0 component library to a real backend with auth and a database

Your app authenticates users securely and manages sessions without leaking data

Replace fragile AI-generated auth with battle-tested Supabase Auth or Clerk

Your database queries scale under real traffic without exposing user records

Rebuild auto-generated database schemas with proper indexes and RLS policies

Your monitoring alerts you to errors in production before your support queue floods

Deploy Sentry tracking and custom dashboards so you catch breaks before users report them

Your prototype graduates to a production app that holds up under concurrent load

Nosso processo

01

Codebase Triage

We clone your repo, run static analysis, and classify every module. You get a detailed report with a keep/refactor/rewrite verdict for each file and a prioritized fix list.
Days 1–3
02

Security & Data Audit

Penetration testing, RLS policy review, API endpoint validation, and a dependency vulnerability scan. Critical issues get patched immediately.
Days 3–5
03

Architecture Rebuild

Restructure the codebase into proper feature modules, enable TypeScript strict mode, add shared utilities, and cut the AI-generated duplication.
Week 2
04

Test & Performance Pass

Write full test suites, optimize database queries, implement caching, and tune Core Web Vitals to 95+ Lighthouse scores.
Week 3
05

Production Deploy & Handoff

Set up the CI/CD pipeline, staging environment, error monitoring, and documentation. Then we stick around for 30 days post-launch to catch edge cases.
Week 4
Next.jsReactSupabaseVercelTypeScriptZodPlaywrightTailwind CSS

Perguntas frequentes

Can you fix my Lovable app without rebuilding it from scratch?

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.

Why does my Bolt.new app break after adding more features?

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.

Is AI-generated code secure enough for production?

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.

How long does a production audit take?

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.

Can you add features the AI builder couldn't handle?

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.

Should I use Lovable, Bolt, or v0 for my next project?

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.

AI App Production Audit from $6,000
Fixed-fee. 30-day post-launch support included.
See all packages →
Next.js DevelopmentCore Web Vitals OptimizationHeadless CMS DevelopmentCore Web Vitals Jamstack Guide

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