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SaaS & AI App Scaling
Lovable RescueBolt.new Scalingv0 Production

AI 应用构建器生产审计与扩展

您的 AI 构建器在投入真实用户前就遇到了瓶颈

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.

项目失败的原因

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.

合规

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.

我们构建的内容

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

我们的流程

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

常见问题

您可以在不从头重建的情况下修复我的 Lovable 应用吗？

通常可以。Lovable 生成的 React 代码配合 Supabase，为我们提供了坚实的基础。我们会审计每个文件，只重写真正破损的部分。大多数 Lovable 项目需要 30–40% 的重构，而不是完全重写。它生成的 Zod 验证和 react-hook-form 模式通常没问题——问题出现在状态管理、身份验证流程和缺失的 RLS 策略上。

为什么我的 Bolt.new 应用在添加更多功能后会崩溃？

Bolt 在大约 15–20 个组件后开始退化。它会忘记既定的约定、重复逻辑并引入命名不一致。更好的提示也无法解决这个问题——这是上下文窗口的根本限制。我们将代码库重构为适当的功能模块，以便人类开发人员和 AI 助手都能进行后续维护。

AI 生成的代码对于生产环境是否足够安全？

不能，没有进行手动审计的情况下是不行的。Lovable、Bolt 和 v0 这三个平台都可能生成存在真实安全问题的代码。暴露的 API 密钥、缺失的 RLS 策略、未验证的用户输入、破损的身份验证流程——我们经常看到这些问题。我们在任何内容投入生产前会运行自动化扫描和手动渗透测试。

生产审计需要多长时间？

标准审计需要 3–4 周，从获得代码库访问权到生产部署。第一周：分类和安全修复。第二周：架构重构。第三周：测试和性能工作。第四周：部署管道和文档编写。具有多个集成的应用可能需要 5–6 周。

您可以添加 AI 构建器无法处理的功能吗？

绝对可以。30% 的 AI 构建器无法处理的部分包括自定义业务逻辑、复杂的第三方集成、适当的基于角色的访问控制、实时功能、支付处理以及考虑边界情况的错误处理。这些需要基于提示的工具所不具备的人类判断。

我应该为下一个项目使用 Lovable、Bolt 还是 v0？

这取决于您的团队。Lovable 最适合需要快速获得全栈原型的非技术型创始人。Bolt 适合想要 IDE 级别控制的经验丰富的开发人员。v0 生成最好的 UI 组件，但其他部分留给您。大多数成功的项目结合使用这些工具——在 Lovable 中制作原型，然后带我们来帮助投入生产。

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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