Production Engineering

AI Built the Prototype.
We Build the Product.

Your AI coding tool generated a working prototype in days. Now turn it into software that handles real users, real payments, and real scale. Our AI-to-production engineering sprint transforms your prototype into production-grade software in 14 days.

Need something lighter? Start with our vibe coding development or vibe-coded app rescue services.

From Prototype to Production in 14 Days

AI coding tools are extraordinary at generating working software in hours. Founders ship prototypes, demo to investors, and validate ideas faster than ever before. But there is a critical gap between a prototype that demos well and software that can handle real customers, real money, and real scale.

At Control Shift, our AI-to-production engineering team specialises in bridging that gap. We take your AI-generated code and systematically engineer it into production-grade software — secure, tested, performant, and deployable.

Why AI Prototypes Fail in Production

AI tools are optimised for speed and functionality, not production readiness. Every AI-generated codebase we audit has the same categories of critical issues:

Security vulnerabilities — exposed API keys, missing auth checks, injection risks, no encryption
Zero testing — no unit tests, no integration tests, no end-to-end coverage, no quality gates
No DevOps — missing CI/CD pipelines, manual deployments, no monitoring or alerting
Database problems — bad schema design, missing indexes, N+1 queries, no migrations
Performance issues — unoptimised rendering, no caching, bloated bundles, slow API responses
Poor architecture — monolithic components, no separation of concerns, unscalable patterns

What We Fix

Security

Full audit + hardening

Architecture

Clean, scalable code

Testing

Automated test suites

Deployment

CI/CD + monitoring

Have an AI Prototype That Needs Production Engineering?

Send us your codebase. We will tell you exactly what needs to change to go from prototype to production.

Send Us Your AI App
The Process

The 14-Day Production Sprint

A structured engineering process that takes your AI prototype from demo-ready to production-grade.

01

Day 1–2

Architecture Audit + Planning

Deep code review of your entire AI-generated codebase. We map architecture, identify security vulnerabilities, document dependencies, analyse database design, and create a prioritised production roadmap.

  • Codebase architecture review
  • Security vulnerability scan
  • Dependency audit
  • Database schema analysis
  • Production roadmap creation
02

Day 3–5

Security Hardening + Authentication

Eliminate exposed secrets, implement proper authentication and authorisation, add input validation, secure API endpoints, and establish session management that meets production standards.

  • Secrets and credentials cleanup
  • Authentication system implementation
  • Role-based access control
  • API security hardening
  • Input validation and sanitisation
03

Day 6–9

Core Engineering + Database

Restructure code into clean, maintainable architecture. Fix database schemas, add proper indexes, optimise queries, refactor monolithic components, and build scalable patterns.

  • Architecture restructuring
  • Database schema optimisation
  • Query performance tuning
  • Code refactoring
  • Error handling patterns
04

Day 10–11

Testing + Quality Assurance

Build comprehensive automated test suites — unit tests, integration tests, and end-to-end tests. Establish quality gates to prevent regressions and ensure reliability at scale.

  • Unit test suite
  • Integration test coverage
  • End-to-end test setup
  • Quality gate configuration
  • Regression prevention
05

Day 12–13

Performance Optimisation

Optimise frontend rendering, reduce bundle sizes, improve API response times, implement caching strategies, and ensure your application handles production load without degradation.

  • Frontend performance audit
  • Bundle size optimization
  • API response time tuning
  • Caching strategy implementation
  • Load testing
06

Day 14

Production Deployment + Monitoring

Set up CI/CD pipelines, configure monitoring and alerting, deploy to production infrastructure, verify health checks, and hand over with documentation and knowledge transfer.

  • CI/CD pipeline setup
  • Monitoring and alerting
  • Production deployment
  • Health check verification
  • Documentation and handover
Deliverables

What You Get

Every production sprint delivers a complete set of engineering fundamentals your business needs.

Production-ready source code — clean, maintainable, well-structured
Automated test suite — unit, integration, and end-to-end coverage
CI/CD pipelines — automated build, test, and deployment workflows
Monitoring and alerting — real-time visibility into application health
Security audit report — vulnerabilities found, fixed, and documented
Performance optimisation — faster loading, quicker responses, lower costs
Database optimisation — proper schemas, indexes, and query tuning
Technical documentation — architecture decisions, setup guides, runbooks
Investment

Production Engineering Pricing

One flat price. Full production engineering. No hourly surprises, no hidden costs.

One Simple Price

Production Sprint

AI-generated apps ready for production

AED 9,500

$2,587

7–14 days

  • Full architecture audit + cleanup
  • Security hardening + authentication
  • Comprehensive test suite
  • CI/CD pipeline + deployment
  • Monitoring + alerting setup
  • Performance optimisation
  • Technical documentation
  • 100% code ownership
Start Your Production Sprint
How It Works

Your AI Built It.
Our Team Tests It.

The production sprint is not a rewrite. We keep what works, fix what does not, and add everything your application needs to operate as real software. Here is how the engagement flows from day one to deployment.

01

Code Audit

We review your AI-generated codebase across 30+ production readiness criteria.

02

Architecture Plan

We design the production architecture, identify what to keep and what to rebuild.

03

Engineering Sprint

Our engineers work through security, testing, performance, and deployment.

04

Ship to Production

Your app goes live — monitored, tested, secure, and ready for real customers.

Ready to Go Production?

Selected Work

Real Products.
Impact Driven Systems.

We collaborate with ambitious founders to turn complex challenges into high-performance digital systems.

Client Stories

Trusted by Visionary Founders

Digital Strategy

"Control Shift has been instrumental in reshaping our digital strategy. Their commitment to excellence and deep industry knowledge set them apart."

Asif Shuja

Asif Shuja

FOUNDER GEOPOCONSULT

Custom Solutions

"The expertise and creativity at Control Shift have elevated our online presence. Their tailored solutions perfectly align with our business goals."

Hasan Dweik

Hasan Dweik

CEO ULTRATEC 3D

Innovative Execution

"Control Shift has delivered outstanding results for our brand. Their innovative approach and seamless execution have truly impressed us."

Yasir Arafeh

Yasir Arafeh

CEO ULTRATEC 4D

Digital Strategy

"Control Shift has been instrumental in reshaping our digital strategy. Their commitment to excellence and deep industry knowledge set them apart."

Asif Shuja

Asif Shuja

FOUNDER GEOPOCONSULT

Custom Solutions

"The expertise and creativity at Control Shift have elevated our online presence. Their tailored solutions perfectly align with our business goals."

Hasan Dweik

Hasan Dweik

CEO ULTRATEC 3D

Innovative Execution

"Control Shift has delivered outstanding results for our brand. Their innovative approach and seamless execution have truly impressed us."

Yasir Arafeh

Yasir Arafeh

CEO ULTRATEC 4D

Digital Strategy

"Control Shift has been instrumental in reshaping our digital strategy. Their commitment to excellence and deep industry knowledge set them apart."

Asif Shuja

Asif Shuja

FOUNDER GEOPOCONSULT

Custom Solutions

"The expertise and creativity at Control Shift have elevated our online presence. Their tailored solutions perfectly align with our business goals."

Hasan Dweik

Hasan Dweik

CEO ULTRATEC 3D

Innovative Execution

"Control Shift has delivered outstanding results for our brand. Their innovative approach and seamless execution have truly impressed us."

Yasir Arafeh

Yasir Arafeh

CEO ULTRATEC 4D

Knowledge Base

Frequently Asked Questions

FAQ

Common Questions

Our standard engagement is a 14-day production sprint. Simple single-feature apps can be production-ready in as little as 7–10 days. Complex multi-service systems may extend to 20–30 days depending on scope, integrations, and architecture complexity.

We work with all major AI-generated codebases — Lovable, Bolt, Replit, Cursor, Claude Code, Codex, GitHub Copilot, Firebase Studio, and any stack built with Next.js, React, Flutter, Node.js, or similar frameworks. It does not matter how the code was generated; we make it production-ready.

Yes. Most AI-generated prototypes have the right core logic but lack production fundamentals — security, testing, performance, monitoring, and deployment infrastructure. Our engineering sprint adds everything your prototype is missing so it can handle real users, real payments, and real scale.

You receive production-ready source code, a full test suite, CI/CD pipelines, monitoring and alerting setup, a completed security audit report, deployment infrastructure, performance optimizations, and technical documentation. You own 100% of the code — no lock-in.

Our AI-to-production sprint is a flat AED 9,500 ($2,587) — covering the full engineering lifecycle from architecture audit through to production deployment. The scope is designed for most AI-generated apps and includes security, testing, CI/CD, monitoring, and documentation. We send a fixed, itemised quote after a free code audit.

In most cases we can rescue and improve the existing codebase. Our architecture audit on Day 1–2 tells us exactly what is salvageable and what needs rewriting. In the rare cases where a rewrite is more cost-effective, we tell you that upfront before any engineering begins.

AI-to-production is our highest-value engineering service. For lighter engagements, explore our vibe coding development, vibe-coded app rescue, and AI code audit services — or see our custom software development for traditional builds.

From Prototype to Production
in 14 Days.

Speed of AI. Confidence of production engineering.

Get in Touch

Tell us about your project

  • We respond within 12 hours
  • NDA available on request
  • Dedicated consultant specialists

WhatsApp Us

+971 54 483 2290

Direct Email

[email protected]

Personal Details

Free Strategy Plan
NDAs Signed
Expert Advice
Sourced & Verified

Sourced Context on AI Development

Sourced context, grounded in verifiable references.

Artificial intelligence systems learn from data to perform tasks — such as language understanding, image recognition and decision support — that typically require human intelligence.[1]

Generative large language models can draft text, answer questions and automate routine conversations, making them widely used for customer support and content production.[2]

Sources & References

  1. [1]Artificial intelligence Wikipedia · en.wikipedia.org/wiki/Artificial_intelligence
  2. [2]Large language model Wikipedia · en.wikipedia.org/wiki/Large_language_model