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AI-built applications · technical review · production delivery

Take your AI prototype from working demo to a controlled release.

You have built something useful with AI coding tools. Now you need to know whether it can support real users, protect their data and keep working when you change it.

Kitek reviews AI-generated and vibe-coded applications, identifies the gaps that matter to your business and helps you work through them. Keep the useful parts, establish dependable ownership and agree a practical route to your next release.

  • Review the application you already have
  • Prioritise the risks around real use
  • Agree the scope before paid work begins

Beyond the demo

The next question is whether the business can rely on it.

An AI coding tool can help you explore an idea quickly. A successful demonstration still leaves questions about access, data, failure handling and how the application will be maintained. This service is for teams reaching that next decision.

01

You are preparing to launch

The main journey works, but you need evidence around permissions, unexpected inputs, third-party failures and customer data before widening access.

02

Changes keep breaking other features

Generated fixes have become difficult to follow. You need repeatable tests, clearer boundaries and a way to release changes with confidence.

03

The prototype has become a real tool

Staff or customers already depend on it, while hosting, backups, monitoring or technical ownership remain informal.

04

You need an engineering handover

You want someone to understand the code, explain the trade-offs and establish what is needed to support the application.

A review of the running application

Check the parts a working demo does not prove.

We agree the important user journeys and review boundaries first, then inspect the application, source code and environment against them. Findings should explain the business consequence and the action needed, rather than leave you with an unexplained list of technical issues.

01

Code and dependencies

Build reproducibility, dependency support, duplicated logic and the parts of the code that make changes difficult. Establish what can be kept and what needs attention.

02

Identity, permissions and secrets

Authentication, server-side access checks, privileged actions and how credentials are stored. Check that one user's data and actions stay within the intended boundaries.

03

Data and integrations

Validation, migrations, failed requests, duplicate submissions and recovery. Confirm how the application behaves when an external service is unavailable.

04

Tests and acceptance

Repeatable checks for critical workflows, permission boundaries and known failures, with clear acceptance criteria for the changes being delivered.

05

Release and operational controls

Separate environments, deployment steps, rollback, logs, alerts and backup or restore arrangements appropriate to the application.

06

AI features, where present

If the product itself uses AI, include output evaluation, data access, model failure handling, usage costs and human approval for consequential actions.

A practical next stage

Keep what works. Change what the evidence requires.

AI-generated code does not automatically need a rewrite. The decision depends on the application, the workflows it must support and whether its important risks can be addressed through manageable changes.

  1. 01

    Understand the intended release

    Discuss users, sensitive data, integrations and current problems. Confirm source-code ownership, available access and the scope of the first review.

  2. 02

    Make the gaps visible

    Review the agreed areas, reproduce important failures and separate launch blockers from improvements that can wait. Explain any assumptions or areas that need further investigation.

  3. 03

    Agree and deliver the next changes

    Choose a bounded stage of stabilisation or development. Establish acceptance checks and a release or rollback route before making changes to a live service.

  4. 04

    Hand over operating knowledge

    Document the build, deployment, access and support responsibilities so that the business can decide how the application will be maintained.

Useful evidence

Leave with a decision you can act on.

The review output matches the agreed scope. It can include a map of the application and its services, a prioritised record of findings, evidence from critical workflow checks and options for the next stage of work. You should be able to see what needs attention before release, what can follow later and why.

If implementation is needed, we agree its scope, cost and timing separately. That may mean focused repairs, strengthening a particular component or replacing a part of the prototype while keeping the rest.

Beyond the first release

Give the application an owner after launch.

A release is the start of an operating responsibility. Dependencies change, integrations fail and users find cases that a demonstration never covered. Kitek can provide ongoing application support and planned improvements, or prepare a documented handover for your team.

Our work on My Safety Buddy and Metal100 shows our experience taking ownership of live applications and continuing their development. Those case studies describe software engineering and support; the scope for your AI-built application would be agreed around its own needs.

Before we start

What to know before handing over an AI-built application.

Can Kitek review a vibe-coded application?

Yes. We start with what the application does, the source code and the environment it runs in. Tell us which tools were used, what already works and where you are seeing problems. We then agree a useful review scope and the access required.

Will you insist on rebuilding it?

No. We first assess whether the useful parts can be maintained and improved. Replacement is an option when the evidence supports it, and can be limited to particular components rather than the entire application.

Does an AI-built app need to contain an AI feature?

No. Software created with an AI coding tool may be an ordinary web or mobile application. If the product also uses AI to generate answers or take actions, we scope the additional evaluation, data-access and operating controls for that feature.

What do you need to get started?

A short description of the users and the intended release is enough for an initial discussion. A technical review normally needs access to the code, relevant environments and information about external services and data. We agree how access will be provided before work begins.

How much will the review cost, and how long will it take?

The scope depends on the application, the questions you need answered and the evidence available. We agree the review fee, boundaries, required access and turnaround before paid work starts. Any implementation has its own agreed scope and timing.

Can you work with our team and support the app afterwards?

Yes. We can work alongside your developers, prepare a handover or discuss ongoing support and improvements. Kitek is based in Melbourne and offers services worldwide, with communication times and decision points agreed around your team.

A clear first conversation

Show us what you have built and what needs to happen next.

Tell us who will use the application, what works today and what concerns you about the next release. We will discuss the right starting point and agree the scope before paid work begins.

Discuss your AI prototype

Or email info@kitek.com.au