We fix websites, apps and systems built with AI that don't work

It got built fast and started breaking once real users showed up. We open the code, find what's wrong and get it working, and we review the database and infrastructure too.

Diagnosis and repair of websites, apps and systems made with AI tools or vibe coding that throw errors, can't handle more users or that nobody can maintain, with a review of the database, infrastructure, tests and documentation.

What we deliver

  • Code assessment
  • Database & Infra
  • Fixes in production
  • Tests & Documentation

Who it's for: Companies and founders whose AI-built software fails in production

Why MRecovery

  • Assessment before the quote: You get a report on what's broken, why it breaks and what it costs to fix. Only then do you decide.
  • No starting from scratch: We keep what works. Rewriting is a last resort, and when we do it, it's just one part.
  • Code someone else can understand: We hand over an organized repository, tests and documentation. The system no longer depends on whoever built it.

What MRecovery is

MRecovery is the MFactor service that rescues software built with artificial intelligence. Lovable, Bolt, v0, Cursor, a freelancer pasting code from ChatGPT: how it got made doesn't matter. What lands here is a system that was promised, that even worked in the demo, and that couldn't handle real use.

AI writes code fast, and that's a good thing. The problem is that it writes what you asked for, not what the system needs. It doesn't know the orders table will hit 200,000 rows within a year, that tax ID numbers need validating, that passwords can't go into the database as plain text, or that the free hosting plan won't survive Black Friday. Engineers know that. When there's no engineer on the project, nobody makes those calls, and the bill comes due once people already depend on the system.

The symptoms are familiar. It works with ten users and crashes with a hundred. A screen takes eight seconds to load because it queries the database once per row. One customer's data gets mixed up with another's. The site looks like a thousand others, because AI designs whatever is most common. And then there's the SaaS that brings in money, with customers paying every month, but can't grow because every new feature breaks two old ones.

Signs your system needs recovery

  • The bug comes back in a new place: You ask the AI to fix it, it changes something else, and the problem shows up again on another screen. Without tests, every fix is a gamble.
  • It goes down when people show up: It ran fine in the demo. With fifty people using it at once, it freezes, slows to a crawl or takes the server down.
  • Data goes missing or gets mixed up: One customer sees another customer's order. A record disappears. There's no log to tell you when it happened or why.
  • A site that looks like everyone else's: The layout is what the tool hands out to everyone. Nobody recognizes your brand in it, and neither does Google.
  • It makes money, but it can't grow: Customers pay every month, but every change to the code is nerve-wracking. The team is afraid to touch it.
  • Nobody knows what's in there: Whoever built it is gone, or it was built by AI. There's no documentation, no tests and no organized repository anyone could take over.

What the recovery includes

  • Assessment: we go through the code, the database and the infrastructure and tell you what's wrong, ranked by risk.
  • Fixes: bugs, slow queries and security holes, starting with whatever takes the system down.
  • Database: structure, indexes, migrations and backups. That's usually where AI-built systems are weakest.
  • Infrastructure: hosting, environment variables, logs, monitoring and cost. The system moves off the free plan it has outgrown.
  • Tests and version control: the minimum so the next change doesn't break the last one.
  • Documentation: what the system does and how to run it, so you don't depend on whoever built it or whoever fixed it.

How it works

  • 1. Access and review: You give us access to the code, the database and the hosting. We read through all of it before we weigh in, and we don't change anything at this stage.
  • 2. Assessment report: What's broken, why it breaks and what happens if it stays that way, ordered by risk. Each item comes with the cost to fix it.
  • 3. Stabilization: First, whatever takes the system down or leaks data. We back up the database before touching anything in production.
  • 4. Database and infrastructure: Indexes, queries, migrations and backups. Hosting sized for real usage, with logs and monitoring.
  • 5. Tests and repository: The code moves to an organized repository, with tests on the critical parts and a review for every change.
  • 6. Handover and next steps: Documentation of what was done and how to run it. Then it's your call: keep going with your own team, or have MFactor handle operations.

Who it's for

If the system can't be saved, we'll tell you. Sometimes the right answer is to rebuild one part with MLabs and keep the rest. But that comes after the assessment, not before.

  • Business owners: who paid for a system and got something that doesn't do what was agreed.
  • SaaS founders: with a live product and paying customers, who can't ship anything new without breaking what's already there.
  • Companies: that built an internal tool with AI and now depend on it more than it can handle.
  • Agencies and freelancers: who delivered a project built with AI and need engineering to make good on it.

Frequently asked questions

My system was built with Lovable, Bolt or Cursor. Can you work on it?

Yes. These tools generate ordinary code, usually React, Node and Supabase or Firebase. The difference is that it comes without the structure an engineering team would put in: no tests, no separate environments and a database that's wide open. We move the code into a repository and work on it like any other project.

Do I need to rebuild everything from scratch?

In most cases, no. The assessment separates what works from what needs to be redone, and rewriting is the last resort. When a part can't be saved, we rebuild just that part with MLabs and connect it to the rest.

How much does it cost to recover a system?

It depends on the state it's in, which is why we only set a price after the assessment. The assessment has a fixed scope, and the report is yours to keep even if you decide not to go ahead with the fixes.

The system is live with customers. Do you need to take it down to fix it?

No. We work in a staging environment separate from production, and changes go live in agreed windows, after a backup. The system keeps serving customers throughout the recovery.

What if I don't have access to the code?

That happens when someone else built the project. We walk you through how to request the repository and credentials, and what to do if they don't hand them over. With access to the database and hosting, we can already start the assessment.

Once it's recovered, who looks after the system?

Your call. We hand over the repository, the documentation and the environment for your team to take over, or MFactor keeps looking after it through MHost, with monitoring and support.

Do you work with companies in Leme and the São Paulo countryside?

Yes. MFactor is based in Leme and works with companies in Pirassununga, Araras, Rio Claro, Limeira, Piracicaba, Campinas and all over Brazil. The work is remote, with access to the code and the hosting, and meetings can be in person when the company is in the region.

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