AI-Native Engineering in Manchester
AI Code Audit in Manchester.
Production-grade AI code engineering for Manchester's media, fintech, and digital sectors. Turn your AI prototypes into UK GDPR-compliant software.
Manchester's AI Engineering Team • GBP 1,200 starting price • UK-wide delivery
Areas in Manchester
30+ Point Checklist
A practical ai code audit plan for Manchester
Manchester is the UK's fastest-growing tech hub outside London. From MediaCityUK's creative-tech to Spinningfields' fintech, the city is building with AI tools at scale. We start with the risks, workflow and measurable outcome that matter to your team, then scope the smallest production-ready step for the Manchester market.
- Review the current ai code audit workflow and codebase
- Prioritise security, reliability and compliance for UK
- Leave you with a written scope, risks and next delivery step
Get a Manchester Quote in 24 Hours.
Tell us about your project. A senior engineer — not a salesperson — reviews your brief and sends a scoped, fixed-price proposal in GBP within one business day.
- Senior engineer reviews your Manchester project — not a salesperson
- Fixed-price GBP proposal within 24 hours
- A free initial conversation about your Manchester project
- Clear notes on UK GDPR / FCA requirements and open risks
Get Your Manchester Quote
Share your project details — a senior engineer replies with a scoped, fixed-price GBP proposal within 24 hours.
Trusted by Founders Who Ship, Scale & Operate
Manchester's AI Code Engineering Partner
Manchester is the UK's most dynamic tech city outside London. MediaCityUK is driving creative-tech innovation, Spinningfields is attracting fintechs, and Manchester Science Park is孵化 deep-tech ventures. Many of these projects are built on AI coding tools, but need production engineering to meet UK GDPR and industry-specific compliance requirements. Control Shift provides Manchester's tech ecosystem with the engineering backbone to turn AI prototypes into production software.
Industries We Serve in Manchester
The industries shaping Manchester's economy — and the AI-powered software we build for them.
Media & Creative Tech
Content platforms, streaming technology, and digital media tools from MediaCityUK.
Fintech & Financial Services
FCA-regulated apps, payment platforms, and financial technology from Spinningfields.
E-commerce & Retail
High-conversion platforms and D2C technology for Manchester's retail brands.
Healthcare & Digital Health
NHS-aligned patient platforms, healthtech, and clinical systems.
Education & EdTech
Learning platforms, university technology, and institutional systems.
Logistics & Supply Chain
Warehouse management, delivery platforms, and supply chain visibility tools.
AI Code Audit Developers in Manchester
Manchester's tech ecosystem is growing faster than any other UK city outside London. From MediaCityUK's creative studios to Spinningfields' fintech offices, Manchester is building the future of British tech. Our team provides production engineering that helps Manchester startups and enterprises take their AI-generated code to production with UK GDPR compliance and the quality the city demands.
AI-Built App Problems We Fix for Manchester Teams
Each AI builder has its own habits. Knowing them tells us where to look first, which is why most audits find the serious problems on day one.
What we find
Supabase tables with Row Level Security turned off or set too loosely, so the public key in the browser can read or change other users' data. A 2025 vulnerability report (CVE-2025-48757) found this pattern on many Lovable-built sites.
What we do
We write RLS policies table by table, move sensitive logic into edge functions, and test access as a logged-out user and as a second account.
What we find
Secret keys stored in client-side environment variables (anything prefixed VITE_ ends up in the browser bundle), and long fix-it prompt loops that leave duplicate components and dead code behind.
What we do
We move secrets to the server, rotate the exposed ones, and remove the duplicated code so the next change does not break three other screens.
What we find
One database shared by development and production, so an agent's test run or migration touches live data. In July 2025 a Replit agent deleted a founder's production database during a code freeze, which made this risk widely known.
What we do
We separate development and production databases, add automated backups with a tested restore, and limit what an agent can run against production.
What we find
Large AI-written changes merged without review: the same logic written three different ways, dependencies nobody chose on purpose, and no tests to show what an edit broke.
What we do
We add tests around the main user flows, remove unused dependencies, merge the duplicated logic and set up pull-request checks before anything reaches production.
v0 app rescue
Next.js
What we find
Server actions and API routes generated without an authentication or ownership check, so anyone who finds the endpoint can call it.
What we do
We add session and ownership checks to every server action and route, plus input validation and rate limits on public endpoints.
Already seeing these problems? Our vibe-coded app rescue fixes them in 2-4 weeks, or start with a vibe-coded app audit.
Rescue or Rebuild? How We Decide
Not every AI-built app is worth saving. We tell you which side yours falls on after the audit, before you pay for fixes.
Rescue makes sense when
- The main user flows work, they are just fragile
- Data sits in a real database with sensible tables
- The stack is mainstream (React, Next.js, Supabase, Firebase, Postgres)
- Problems are concentrated in auth, security, payments or performance
A rebuild is cheaper when
- Login, payments or permissions only exist in the frontend
- Data is stored in local storage, JSON files or one giant table
- Every fix breaks something unrelated, even after cleanup
- The app has to meet a compliance standard the current design cannot reach
Worth saving? See vibe-coded app rescue. Better to rebuild? A rebuild keeps your designs, copy and lessons from the first version, so it is usually much faster than the original build. See prototype to product.
Related Services
More AI Services in Manchester
Other Markets
We Also Serve
London
UK
FCA & UK GDPR-compliant AI code engineering.
Birmingham
UK
Manufacturing, e-commerce & enterprise AI engineering.
Leeds
UK
Fintech, legaltech & healthtech AI engineering.
Liverpool
UK
Creative-tech & health AI engineering from the Baltic Triangle.
San Francisco
USA
AI Code Audit for teams in San Francisco and across USA.
Los Angeles
USA
AI Code Audit for teams in Los Angeles and across USA.
Chicago
USA
AI Code Audit for teams in Chicago and across USA.
Austin
USA
AI Code Audit for teams in Austin and across USA.
FAQ
Common Questions
AI Code Audit in Manchester starts from GBP 1,500 for a code audit and scales up based on scope. Every project gets a fixed, scoped quote in GBP before any work begins.
Yes. We can start with the code you already have, whether it came from Lovable, Bolt, Cursor, Claude Code, or another tool. The first step is a practical review of what is working, what is risky, and what should be rebuilt before you spend more on features.
A code audit delivers results in 48 hours. Full production engineering typically takes 2–6 weeks depending on the state of your AI-generated code and production requirements.
UK GDPR / FCA is part of the delivery conversation, not a claim we make after the fact. We identify the data, access, retention and audit requirements that apply to your project, then document the controls that are in scope.
Yes — 100% code ownership on every project. Git repository, deployment credentials, and complete technical documentation are delivered at handover.
Yes. We work with code from Lovable, Bolt, Replit, Cursor, Claude Code, GitHub Copilot, Firebase Studio, and any other AI coding platform. Whatever tool generated your code, we can help improve it.
Sourced & Verified
Artificial Intelligence in Practice
Sourced background on AI adoption across industries.
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]Artificial intelligence — Wikipedia · en.wikipedia.org/wiki/Artificial_intelligence
- [2]Large language model — Wikipedia · en.wikipedia.org/wiki/Large_language_model
Need a second pair of eyes on your Manchester project?
Tell us what you have, where it is getting stuck, and what a useful first release looks like. A senior engineer will suggest a sensible next step and a scoped GBP proposal.
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 2290Direct Email
[email protected]