AI-built software rescue
AI got you this far. We'll take it from here.
Audit, stabilization and long-term engineering for products built with AI coding tools.
Various AI tools make it possible to build a working product remarkably fast. When that product starts to matter to your business, it needs experienced engineering judgment: someone who understands the code, knows what is risky and can keep it running.
- Starts with an audit from €800
- No rewrite by default
- Senior engineer, 16+ years
Technical audit · summary
Working
- Core user flows
- Data model fits the business
Risky
- Access checks repeated across the code
- Outdated dependencies
Fix first
- No tests around payments
- Manual production deploys
Sound familiar?
Your AI-built product works. Can you trust it?
It works. Nobody knows exactly why.
The code grew prompt by prompt, and there is no clear picture of how the parts fit together.
One fix breaks something else.
Every change feels like a gamble, so the parts that matter most are the ones nobody touches.
No tests, no safety net.
You find out about bugs from your users, not before a release.
Security is an open question.
Authentication, access rules, secrets and dependencies have never been reviewed by an engineer.
Deployments are fragile.
Releases depend on manual steps, or on one person who remembers how it was set up.
Real data slows it down.
Pages and queries that were fine with ten users struggle once real customers and real data arrive.
The original developer is gone.
Whoever built it, a freelancer, an agency or you with an AI tool, can no longer keep it going.
You need to keep building.
Customers are waiting for features, but you no longer trust the codebase to take them.
Our view
AI makes software faster to build. Engineering makes it reliable.
Getting a working product built quickly with AI is a real achievement, and often the right way to start. What comes next is different work: understanding the system as a whole, deciding what is safe to change, and adding the tests, structure and deployment process that let a business depend on it.
You don't need a rewrite. You need someone who understands what you already have.
We fix what needs fixing. We don't rewrite working software just because we didn't build it.How it works
Three stages, starting with an audit
Each stage stands on its own. Start with the audit, then decide how far you want to go.
- 1
Technical audit
We review the application and its codebase, and tell you clearly what is working, what is risky and what to fix first.
- Architecture and code quality
- Security and access control
- Dependencies and database design
- Performance
- Tests and deployment
- Maintainability and technical risks
You get: a written report with prioritized recommendations.
From €800, fixed scope
- 2
Stabilization & fixes
We work through the findings in order of risk. The goal is software you can change with confidence, not a rewrite.
- Fix critical bugs
- Close security gaps
- Add tests around critical flows
- Clean up problematic code and architecture
- Improve performance where it matters
- Make deployments repeatable
- Document the important parts
You get: a stable codebase you can keep building on.
Quoted after the audit
- 3
Take over & maintain
When the original developer is unavailable, or you want an experienced engineer on the product, we take it over and keep it moving.
- Handover of the code and infrastructure
- A reliable development and release process
- Ongoing feature development
- Production monitoring, updates and backups
- Direct access to the engineer working on it
You get: an engineering partner who knows your product.
Monthly support from €400 / month
Prices exclude VAT and are starting points, not package prices.
Who it's for
For any product your business now depends on
This is not only for startups. A business-critical internal tool is just as good a reason to get the code reviewed.
- Founders who built their MVP with AI coding tools
- Startups whose codebase was largely generated by AI
- Small businesses running an internal tool built with AI
- Agencies that need an experienced engineer for a client project
- Companies whose original developer is no longer available
- Products that work, but have become risky to change
Why TurboCode
Engineering judgment, from people who run software in production
16+ years of hands-on engineering
TurboCode is led by a senior software engineer and project lead with long experience in complex products and long-running systems.
We run our own product
We build and operate RentCRM, a SaaS in daily use at four healthcare companies, so we know what keeping software in production takes.
Used to code we didn't write
Extending and maintaining systems that others started is a regular part of our client work, such as the BTSO platform for FHNW.
Questions
Before you send us your code
Will you rewrite my product?
Not by default. We keep what works and change what is risky. If part of the system really should be rebuilt, the audit says so and explains why, and the decision is yours.
Which AI tools and technologies do you work with?
The service is for products built with any AI coding tool, such as Claude Code, Cursor, Lovable, Bolt, Replit or v0. What matters is the code that came out of it. We work most with PHP, JavaScript and TypeScript, React, Vue.js, Node.js and MySQL. If your stack is different, we'll tell you honestly in the first conversation.
What do you need from us to start the audit?
Access to the code repository and a short description of what the product does and what worries you. Access to hosting and the production environment helps, but is not always needed for a first review.
How much does it cost?
The audit starts from €800 for a fixed scope. Fixes are quoted after the audit, based on what it finds. Ongoing support starts from €400 per month. Prices exclude VAT.
Will our code stay confidential?
Yes. We only use your code for the work you ask us to do, and we can sign an NDA before we look at anything.
Start with an honest assessment
Tell us what your product does and what worries you. We'll review the codebase and tell you clearly what is working, what is risky and what to fix first.