22 years enterprise experience · Trusted by decision-makers atSchlumbergerE.ONSaga plcLoomisMSDŠkoda Auto
90% of AI prototypes fail in production

From Prototype to Production

AI tools like ChatGPT, Cursor, v0, and Bolt are brilliant for getting started. They generate working prototypes in hours. But production systems need engineering discipline — security, testing, error handling, monitoring, and deployment pipelines that a prompt cannot generate.

90%
AI prototypes fail in prod
22+
Years enterprise experience
48h
Code review delivered

Send us your code for review

Share your repository link and we will deliver an honest assessment within 48 hours.

The gap between prototype and production

AI-generated code often looks correct but hides critical issues. Here is what we typically find and fix.

Security vulnerabilities

Hardcoded secrets, SQL injection vectors, missing authentication checks, exposed API keys, and insecure dependencies. AI tools optimise for functionality, not security.

No error handling or logging

When things go wrong in production — and they will — you need structured error handling, logging, and alerting. Most AI-generated code has none.

Zero test coverage

AI prototypes rarely include tests. Without them, every change is a gamble. We add unit, integration, and end-to-end tests that give you confidence to ship.

Missing CI/CD pipeline

Manual deployments via copy-paste are not a strategy. We set up automated build, test, and deployment pipelines so every release is consistent and safe.

Performance blind spots

N+1 queries, unoptimised images, missing caching, memory leaks. We profile your application and fix the bottlenecks before your users find them.

No monitoring or observability

If you cannot see what your application is doing in production, you are flying blind. We add health checks, metrics, and alerting.

How the process works

1

Code review

We review your codebase within 48 hours and deliver a scored report with specific findings.

2

Honest assessment

Some prototypes can be hardened. Others need rebuilding. We tell you which — with cost and timeline estimates for both.

3

Production hardening

Security fixes, testing, error handling, CI/CD, monitoring, and documentation. Everything a production system needs.

4

Handover and support

We hand over clean, documented, production-ready code with a maintenance guide and optional ongoing support.

Who is this for?

Founders who prototyped with ChatGPT, Cursor, or v0 and need to go live
CTOs inheriting AI-generated codebases that need professional review
Agencies that used no-code or AI tools and need production-grade delivery
Businesses with working demos that crash under real-world traffic
Teams that built an MVP but cannot scale or maintain it reliably
Anyone who has a prototype that works in demo but not in production

Frequently asked questions

How much does it cost?

Pricing is tailored to the scope of your project. Book a free 15-minute call and I’ll give you a clear proposal with no obligation — no menus, no hidden fees, just a conversation about what you actually need.

How quickly can you review our code?

Initial code review is delivered within 48 hours. Full production hardening typically takes 2-4 weeks depending on the scope.

What if the code is beyond saving?

We give you an honest assessment. Sometimes a targeted rebuild of the worst parts is more cost-effective than patching. We will tell you which approach makes sense and why.

What technologies do you work with?

We specialise in TypeScript, Next.js, React, Node.js, Python, and .NET. For other stacks, we can bring in specialist partners from our network.

Do you sign NDAs?

Yes. We sign an NDA before reviewing any code. Your intellectual property is protected.