AI-Native Engineering in Riyadh
AI Code Audit in Riyadh.
Vision 2030-ready AI code engineering for Riyadh's booming startup and enterprise ecosystem. We turn AI prototypes into SAMA-compliant production software.
Riyadh's AI Engineering Experts • SAR 1,500 starting price • Vision 2030-aligned delivery
30+ Point Checklist
A practical ai code audit plan for Riyadh
Riyadh is the epicentre of Saudi Vision 2030's tech transformation. From KAFD's fintechs to STC-backed startups, the city is building at breakneck speed — and AI coding tools are driving the charge. We start with the risks, workflow and measurable outcome that matter to your team, then scope the smallest production-ready step for the Riyadh market.
- Review the current ai code audit workflow and codebase
- Prioritise security, reliability and compliance for Saudi Arabia
- Leave you with a written scope, risks and next delivery step
Get a Riyadh 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 SAR within one business day.
- Senior engineer reviews your Riyadh project — not a salesperson
- Fixed-price SAR proposal within 24 hours
- A free initial conversation about your Riyadh project
- Clear notes on Saudi PDPL / SAMA Cybersecurity requirements and open risks
Get Your Riyadh Quote
Share your project details — a senior engineer replies with a scoped, fixed-price SAR proposal within 24 hours.
Trusted by Founders Who Ship, Scale & Operate
Riyadh's Trusted AI Code Engineering Partner
Riyadh is building the future of Saudi Arabia. Vision 2030 is driving unprecedented investment in technology, with KAFD attracting global fintechs, STC backing AI ventures, and the government digitising citizen services at scale. Many of these projects are built on AI coding tools — Cursor, Lovable, Claude Code — but need production engineering to meet SAMA's cybersecurity standards and Saudi PDPL data protection requirements. Control Shift is Riyadh's leading AI-native engineering team, bridging the gap between AI prototypes and production software.
Industries We Serve in Riyadh
The industries shaping Riyadh's economy — and the AI-powered software we build for them.
Fintech & Banking
SAMA-regulated financial apps, open banking platforms, and payment systems for KAFD-based institutions.
E-commerce & Retail
High-conversion platforms with STC Pay, mada, and Apple Pay integrations for Saudi consumers.
Healthcare
MoH-compliant patient platforms, telemedicine apps, and clinical workflow systems.
Government & Smart City
Citizen services platforms, NEOM-adjacent projects, and government digital transformation tools.
Logistics & Supply Chain
Fleet management, warehouse systems, and cross-border logistics platforms.
Education & EdTech
Learning management systems, student platforms, and institutional education technology.
AI Code Audit Developers in Riyadh
Riyadh's tech ecosystem is exploding. From KAFD's established financial institutions to the startup incubators backing Vision 2030's digital transformation, every organisation is exploring AI coding tools. But the gap between a Cursor prototype and a SAMA-compliant production application is massive. Our Riyadh-based engineers understand both the speed of AI generation and the rigor of Saudi regulatory requirements. Whether you built your MVP with Lovable or your team ships daily with Claude Code, we ensure your codebase meets Saudi PDPL, SAMA cybersecurity, and the quality expectations of the Kingdom's most demanding markets.
AI-Built App Problems We Fix for Riyadh 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 Riyadh
Other Markets
We Also Serve
Jeddah
Saudi Arabia
Hajj-tech & Red Sea tourism AI engineering.
Dammam
Saudi Arabia
Enterprise-grade AI engineering for the Eastern Province.
Mecca
Saudi Arabia
High-scale AI systems for millions of pilgrims.
Medina
Saudi Arabia
Religious tourism & education AI platforms.
London
UK
FCA & UK GDPR-compliant AI code engineering.
Manchester
UK
Media, fintech & creative AI engineering from the North.
Birmingham
UK
Manufacturing, e-commerce & enterprise AI engineering.
Leeds
UK
Fintech, legaltech & healthtech AI engineering.
FAQ
Common Questions
AI Code Audit in Riyadh starts from SAR 1,500 for a code audit and scales up based on scope. Every project gets a fixed, scoped quote in SAR 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.
Saudi PDPL / SAMA Cybersecurity 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.
Absolutely. Saudi PDPL compliance is built into every Riyadh project — data localization, consent management, cross-border transfer controls, and right-to-erasure flows. We ensure your AI-generated code meets all Kingdom regulatory requirements.
Yes. We regularly work with Arabic-first applications built on AI coding tools. We ensure proper RTL support, Arabic NLP integration, and bilingual architecture that works for both Arabic and English users.
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 Riyadh 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 SAR 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]