Your prototype works. Before real users, real data and real payments are involved, experienced engineers review your code, close the risks and guide your team.
order-dashboard
v0.9, built with Lovable
Authentication and permissions
Role-based access is correct
API keys
Secret key shipped in the client bundle
Rate limiting
No limit on the payment endpoint
Versioning
No version history, no way to roll back
Error tracking
Logs only go to the console
Scalability
Unpaginated queries, no indexes
Database backups
Daily, kept for 7 days
Test coverage
12% of critical flows
Not ready for production
3 critical, 3 warnings
We go through authentication, permissions, secrets, input validation and dependencies line by line.
We check whether the app can carry its growth and which parts need restructuring.
We separate environments, set up CI/CD, and prepare a backup and rollback plan.
Error tracking, logs and uptime checks so you see problems before your users do.
We find slow queries, unnecessary LLM calls and growing bills.
Rules, templates and regular review that keep quality up while you keep building with AI tools.
01
We look at your code and infrastructure with read-only access, then deliver a written report with each finding's severity, impact and recommended fix.
Prioritized findings report
02
We fix the critical findings ourselves or close them together with your team, and set up the release process, monitoring and backups.
Fixed code and working infrastructure
03
As your team keeps building with AI tools, we stay on for regular code review, architecture decisions and good practices.
Ongoing review and guidance
The goal isn't to fix your app once and walk away. We set things up so you keep developing your product with your own AI assistant, while no change ever reaches production unchecked.
01
It doesn't have to be a Git repository. A Lovable or Bolt export, a zip file or your existing repo: we start with whatever you have.
02
We open an account for your company and move the project into a Git repository. The repo, accounts and every access stay in your name.
03
We find and fix security holes, flawed data structures and architectural decisions that will cause trouble as the app grows.
04
We add the rules your assistant follows on every change: architectural boundaries, security rules, and testing and naming conventions.
05
Development, staging and production run with separate databases and settings. Your experiments never touch real users.
06
Whether you use Cursor, Claude Code, Lovable or another tool, we set up a flow that lets you share changes straight from it.
Your AI assistant
You make the change with your own assistant, as usual, and share it.
Automatic
developmentv1.5.0
Every change you share is deployed to development automatically. That's where you try it first.
When you approve
stagingv1.5.0
If everything looks right, you promote it to staging for a final check in the environment closest to production.
When you approve
productionv1.4.2
If staging is clean, you update production. Every release is recorded with a version number.
Rollback. If something unexpected happens, you roll production back to the previous version, such as v1.4.1, in one step.
The source code is enough. A Git repository, a Lovable or Bolt export or a zip file all work. Access to your hosting and database dashboards, if you have them, speeds things up. A short call where you explain what the app does is enough to start.
Yes. Every finding is written clearly enough for your team, or your AI tool, to apply. If you prefer, we make the fixes.
Lovable, Bolt, v0, Replit, Cursor, Windsurf, Claude Code and others. What matters is the resulting code and infrastructure, not the tool.
A short message is enough. We reply within two business days and suggest a time for an intro call.
or email us directly: hello@aiassistantstudio.com