VibeCode

Vibe Code

Gloster · senior engineering service

Vibecoding is not something to ban. It is something to use well. We take care of the rest.

The vibecoded app is ready. Users would love it—it does everything they want. It was built on a shoestring budget, with a lot of enthusiasm, in just a few days. Yet it’s not live. No customer has seen it. You don’t dare show it to investors, sponsors, or your boss. Because it’s not secure. It’s not stable. It’s not up to standard. It’s not operational. Sound familiar? It certainly does to us. This is what happens when a “vibecode-style” app falls into our hands:

A supported application that runs safely in production

A professional UI, the same business functionality, satisfied users

A full security and architecture audit, with all risks identified

Code review, rework, or even a complete rebuild, as warranted

Robust, time-tested, standard technology

If you'd like: full-service operation, with an SLA

You have a decision to make: either forget your vibecoded applications, or fix them, control them and use them professionally.

vibeproof · api/client.ts Scanning

1export async function getClient() {

2const apiKey = "sk-live_4f9c2a7e8b1d";Critical

3const db = connect(process.env.DB_URL);

4return new ApiClient({ key: apiKey,

5retries: 0, // no backoffHigh

6});

Conditional go · 62/100 3 critical 5 high 4 medium

I've vibecoded an app, I'd like an audit!

I want to run it in production. What should I do?

20+ years of enterprise software development experience · Delivery experience across the UK, DACH and CEE · Listed on the Budapest Stock Exchange

From AI-built prototype to a production-grade system

Prototypes and MVPs built with AI come together quickly, but they are rarely built for enterprise operation, scale, auditability or long-term maintainability.

Security risk

Hardcoded keys, broken authentication, permission issues and unsafe AI-generated patterns.

Security exposure, stalled security reviews, lost trust with your clients.

Scaling risk

The system works in a demo, but there is no guarantee it stays stable under production load.

Unstable operation, increasing operational risk, slowing rollout.

Technical due diligence risk

Your enterprise client, partner or procurement team requests a technical review.

Delayed decisions, a postponed go-live, a slower sales process.

Ownership gap

It is unclear which parts were generated by AI, how the logic works and who takes engineering responsibility for it.

Maintenance risk, difficult onboarding, growing technical debt.

A concrete plan for turning your system into a secure, production-ready solution

The AI Readiness Audit is not a generic code review. It is a structured engineering audit that examines your codebase for security, architecture, scalability, deployment, observability and compliance, led by our senior architects. The report does not just surface the problems, it makes the next step visible: remediation, production implementation or ongoing support.

An executive summary for leadership decisions

A prioritised risk register based on severity and business impact

Security and architecture review

Scalability and deployment analysis

Observability and maintainability assessment

Compliance gap check against the relevant regulatory requirements

A remediation roadmap with engineering effort estimates

Engineering Audit Report

vibe_code_report.pdf · 34 files

Conditional go

62/100

Executive summary

Risk Register

Roadmap

Finding

Severity

Effort

SEC-01

Hardcoded API secret

Critical

SEC-04

Missing rate limiting

Critical

ARCH-03

No retry / backoff

High

SCALE-02

Synchronous DB Calls

High

ARCH-07

Circular dependencies

High

OBS-01

Missing observability

Medium

COMP-04

GDPR retention gap

Medium

DEP-02

Manual deployment steps

Low

12 findings · prioritised by severity and effort

Roadmap

5 working days. Fixed delivery

The AI Readiness Audit is a fast, predictable process. Within a week you receive a leadership-ready decision support report, prepared with engineering rigour and usable straight away.

Kickoff and NDA

Repository and infrastructure review

Security and architecture assessment

Risk scoring and prioritisation

Production-readiness verdict + roadmap

The roadmap can be delivered by your own team, by your existing technology partner, or as a dedicated Gloster Fix Sprint and implementation project.

Apply for an audit

Let's identify where AI can deliver immediate engineering gains

The audit does more than show the full picture. It also helps you find the interventions that quickly reduce development and security risk.

AI-ready development workflow

↓ Fewer manual engineering tasks

Faster development

↓ Shorter development cycles

Safe AI adoption

↓ A controlled enterprise environment

Optimised engineering processes

↓ Less waiting, fewer manual steps

CI/CD and AI automation

↑ Faster, more reliable releases

A modern, secure development platform

↑ A scalable, AI-ready environment

The audit is led by Gloster's senior architects

Behind the Vibe Code audit are senior architects who do more than read code: they know how production systems fail. With more than twenty years of enterprise development and modernisation experience.

Zoltán Rak

Senior Enterprise Architect

20+ years of experience

Legacy Modernization

Cloud-native architectures

DevOps and Infrastructure

AI-assisted development

László Földesi

Cloud Business Lead

10+ years of experience

Production Readiness

Cloud architecture

Security and compliance

Scalable systems

András Leskó

Modernisation Lead

10+ years of experience

System consolidation

Enterprise delivery

Regulated environments

AI-ready systems

Apply for an audit

For teams that cannot afford mistakes in production

Startups and scale-ups

Taking an AI-assisted MVP or prototype live, ahead of a first enterprise client or technical due diligence.

Enterprise innovation teams

Before productionising internal AI workflows, prototypes and digital factory solutions.

Investors and M&A teams

An independent security, architecture and production-readiness review ahead of an acquisition or board decision.

Anyone can build with AI. A production-ready system is another matter.

Behind the Vibe Code Audit stands the same engineering mindset Gloster applies when modernising, building and operating business-critical systems for international companies. We are not claiming that AI-built code is bad. We assess whether your system is ready for production, and if it is not, we also fix it, implement it and support it.

Security, architecture and scalability review for production environments

A remediation roadmap prioritised by business impact

Senior architect support after the audit as well

Vendor-independent recommendations and implementation

Enterprise delivery experience across the UK, DACH and CEE

From remediation to operations with a single partner

4 regions

UK · DACH · CEE delivery

AI-assisted

engineering mindset

100+ enterprise projects

business-critical projects

20+ years of experience

End-to-end software delivery, security, cloud

From AI idea to production system

Four steps to production-ready operation. We deliver the audit, and on request the remediation, the production rollout and the operations as well. We stop exactly where you want us to.

Entry

AI Readiness Audit

A senior engineering review of your application's production risks. Outcome: a clear production-readiness picture, a prioritised risk register and a remediation roadmap with effort estimates.

Fix

AI Fix Sprint

Fixing the most important roadmap items: secret management, permissions, dependencies, CI/CD, observability, deployment hardening. Outcome: the most critical production blockers fixed or substantially reduced.

Implementation

AI Production Implementation

Cloud architecture, infrastructure, DevOps pipeline, monitoring, backup and documentation for systems that need real production foundations. Outcome: a system deployed to production, documented and ready for support.

Operations

AI-Managed Support

Monitoring, incident management, security patching, change management and continuous improvement in an SLA-based model. Outcome: your application stays secure, stable and maintainable after go-live.

A fixed-price audit. With concrete outcomes

The AI Readiness Audit is priced predictably. The Fix package is designed for AI-assisted MVPs and smaller pre-production systems. For more complex architectures, multiple repositories or a compliance focus, we recommend the Enterprise audit. After the audit, the Fix Sprint, production implementation and managed support are available with an individual quote.

AI Readiness Audit

From EUR 2,500

5 working days

Up to 25,000 LOC

1 repository

1 deployment environment

Security and architecture review

Production-readiness assessment

Risk Register

Remediation Roadmap

Executive summary

30-minute closing consultation

Let's start the audit

Popular

AI Readiness Audit Enterprise

Individual quote

Multiple repositories or a monorepo

Microservice architecture

Code base above 25,000 LOC

Compliance gap analysis

Deep architecture review

Performance and scalability testing

CTO-level review board

2–4 week turnaround

Follow-up review

Request an individual quote

Find out
before production finds out

Book a slot for our production-readiness audit.

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Frequently asked questions before the audit

Why isn't an automated AI code scanner enough?

Automated scanners generate a large number of false positives and do not understand the business context or production operations. The AI Readiness Audit examines the system through a senior engineering review, focusing on architecture and scalability.

Do you also carry out the fixes?

Yes. The audit identifies risks and provides a prioritized remediation roadmap; Gloster can implement the fixes as part of a separate AI Fix Sprint or a production implementation, but the roadmap can also be carried out by your own team.

Does it include a penetration test?

Not by default. The AI Readiness Audit is a production-readiness review. Penetration testing is available as a separate service.

Can you run a private or on-prem review?

Yes. All reviews are conducted under an NDA, and you can also request a model where the code never leaves your infrastructure.

What exactly do I get at the end?

A prioritized remediation roadmap with specific recommendations and engineering effort estimates, as well as an executive summary to support management decisions.

How do you prioritise the risks?

Based on severity, business impact, and remediation complexity. The risk register assigns a priority level and estimated effort to each item.

Does it work on AI-generated codebases?

Yes. The review is specifically designed for AI-generated and AI-assisted codebases, where documentation and ownership are often lacking.

How long does remediation take after the audit?

This depends on the size and state of the codebase. The roadmap includes an effort estimate for each fix item, so the Fix Sprint or implementation can be planned accordingly.

Can you also provide production support?

Yes. Managed support is available for systems going into production: monitoring, incident management, security patching, and ongoing development support under an SLA-based model.

Before it goes to production, get it audited.

The Vibe Code Audit gives you a precise picture of whether your AI-built system is ready for production, an enterprise client or a technical review. You get a summary leadership can act on, a risk register engineering can work from, and a concrete remediation roadmap, all within 5 working days. And if needed, we take the remediation and the operations forward too.

Let's start the audit →

Vendor-independent review · Under NDA · From EUR 2,500

VibeProof live audit engine: hard-coded secret flagged as critical, missing retry policy flagged as high, overall "conditional-go" verdict.