Engineering Factory

How a project moves forward with us, from your request to delivery

AI agents that produce, director agents that demand, a senior architect who approves.

New request

Café Pivoine, Paris

Offer booked: E-commerce website
The need: Sell its coffees online, whole bean or ground, with collection at the counter.
Next: The agent team takes on the project. A senior architect approves every step.

Café Pivoine and boutique-cafe.example: demonstration scenario.

The agent team

Café Pivoine, a small Paris café, has booked the “E-commerce website” offer. Each agent takes its post: architecture, development, security, testing. A senior architect reviews their work.

ArchitectA coffee shop, online payment, collection at the counter. I'm drawing up the plan.

DeveloperI'll take the product pages.

TestingI'm preparing the order journeys to check.

Review, fix, tests

Security reads the payment code and finds a flaw: the price sent by the browser was accepted as it was. The developer fixes it, then the tests run again.

All tests green

SecurityPayment flaw: the price comes from the browser. I'm blocking it.

DeveloperFixed: the price is worked out again on the server.

TestingEvery order journey passes again.

The written lesson

The flaw becomes a written rule: a price is always calculated on the server. It is reviewed, then every agent applies it to the next projects.

The rule, shown on every desk

SecurityI'm writing the rule: a price never comes from the browser.

ArchitectReviewed and adopted.

TestingI'm adding a test that checks it on every release.

Delivered

Café Pivoine's shop opens on desktop, tablet and phone. The merchant has approved it and the first orders are coming in.

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TestingDesktop, tablet, phone: everything is checked.

ArchitectThe merchant has approved it. The shop is live.

Demonstration scenario

The technologies

Technology follows your needs and your architecture

We don't start from a catalogue. During scoping, we choose what serves your needs and your architecture, then assemble it into a system we know how to secure, test and run. A few examples, layer by layer:

Web and mobile interfaces: Next.jsReactSwiftKotlin… and others, depending on your project
Services and APIs: Node.js.NET… and others, depending on your project
Data: PostgreSQL… and others, depending on your project
Artificial intelligence: The AI models of your choice… and others, depending on your project
Cloud: AzureAWSGoogle CloudVercelYour servers… and others, depending on your project
Delivery: TerraformGitHub Actions… and others, depending on your project

The names shown are the technologies we use. Naming them implies no partnership.

Code validation

Three checks before every delivery

A real case, on our own website. Every change goes through code review, tests, then security review. Whatever fails goes back to the workshop.

The new home page goes through code review: approved.
Tests reject it: the page loads 6 videos at once, too slow on a phone.
Back to the workshop. The fix: each video loads as you scroll.
It comes back and goes through code review and tests again: approved.
Security review approves it too.
The page is delivered.

The product

One product, on desktop, on mobile and as an API

The customer orders on their phone. The API records the order and updates the stock. The merchant sees it straight away on the computer. One product serves all three.

Café Pivoine

250 g

Ethiopian Moka, 250 g

Orange blossom, citrus

€9.80

Order

✓

Thank you for your order

Order no. 1042

Collect at the counter tomorrow from 8 am

Mobile

Orders API

Request

{
  "product": "Ethiopian Moka, 250 g",
  "quantity": 1,
  "collection": "at the counter"
}

Response

{
  "order": "1042",
  "status": "confirmed",
  "stock left": 11
}

boutique-cafe.example/gestion

Café Pivoine

Shop dashboard

Coffee stock

Ethiopian Moka, 250 g	12 in stock
Colombia Huila, 250 g	18 in stock
Guatemala Antigua, 250 g	9 in stock
Brazil Cerrado, 250 g	24 in stock

Today's orders

No new orders

Desktop

Café Pivoine and boutique-cafe.example: demonstration scenario.

On their phone, a customer picks “Ethiopian Moka, 250 g” and taps “Order”.
The order goes to the Orders API: the product, the quantity, collection at the counter.
The API replies: order confirmed, 11 bags left in stock.
The phone shows “Thank you for your order”.
On the merchant's computer, “New order” appears and the stock drops from 12 to 11.

The delivery chain

From your repository to your users

Every version follows the same path, and production always waits for two approvals: ours, then yours. Here, version 1.2 of the café's app adds contactless payment.

Café app v1.2: contactless payment

Code
Checks
Preview
Approvals
Stores
Users

v1.2

Code

Merge request

Contactless payment

checkout.ts

+ checkout.addPayment("contactless")+ receipt.send(customer)- checkout.cardOnly()

✓Buildpassed
✓Testspassed
✓Security reviewpassed

Café Pivoine

Total: €7.80

Pay contactless

Release to production

ZARTECH ✓
The client ✓

↺ One-click rollback

App Store
… In review
Google Play
… In review

The café's customers

First contactless payment at 7:42 am

Café Pivoine and boutique-cafe.example: demonstration scenario.

The contactless payment code arrives in a merge request.
The checks pass: build, tests, security review.
The preview goes to the merchant's phone. The merchant's comment: the button is too small.
The button is enlarged and a new preview goes out. The merchant approves it.
Two approvals for production: ZARTECH, then the client. A one-click rollback stays ready.
The app is sent to the App Store and Google Play: in review.
Both stores publish it.
Phones and computers update. At 7:42 am, the first order is paid contactless.

Azure, AWS, Google Cloud, Vercel, Next.js, React, Node.js, .NET, Swift, Kotlin, PostgreSQL, Terraform, GitHub, App Store and Google Play are trademarks of their respective owners. ZARTECH is not affiliated with any of these vendors.

What you can entrust to us

Every solution in the catalogue is ordered as a package and priced by quotation. Choose a package, add it to your project, and we reply.

Request a quote See all solutions

Request a quote Solutions

What we build with this workshop

From the cloud foundation to the mobile app, the method stays the same: a written architecture, reviews, and test results reported as they are.

Cloud and Microsoft Azure
Foundations, landing zones, migrations and cost optimisation.
Enterprise architecture
Mapping, roadmap and documented architecture decisions.
Security architecture
Threats, identities, secrets and delivery pipeline security.
DevOps and infrastructure as code
Reproducible environments, pipelines and observability.
Data engineering
Data flows, warehouses, data quality and dashboards.
AI and automation
Scoping, measured integration and automated processes.
Custom software
Business applications, APIs and internal tools.
Web development
Fast, accessible websites, portals and web applications.
Mobile apps
iOS and Android, from mock-up to store release.
E-commerce
Online shops connected to payments, inventory and tools.
SaaS and business platforms
Multi-tenant products, subscriptions and administration.
Enterprise integration
APIs and connectors between CRM, ERP, shops and internal tools.

Solutions

The rules applied to every project

They are written into the Factory and apply to all our engineering projects.

Our AI agents work to the official frameworks of Microsoft, GitHub and Kubernetes (Well-Architected Framework, Cloud Adoption Framework, the AZ-305, AZ-400 and CKA programmes), check every decision against the official documentation and are supervised by our engineers.

Security handled from the architecture onwards

Identities, secrets, internet exposure and sensitive data are decided at design time instead of being patched at the end of the project.

Every client stays isolated

No code, no data and no secret moves from one client project to another.

Honest test results

Every check is reported as passed, failed or not run; a test that did not run is never presented as passed.

Sensitive operations are approved

Go-live, data deletion or changes to access rights only go ahead with explicit approval, recorded in the project file.

Open questions go to the person in charge

When an architecture choice is still open, work on that point stops and the question goes to ZARTECH's leadership, then to the client if it concerns them.

Lessons are checked before they are applied

What we learn from a project becomes a rule only after review; until then, it is a hypothesis.

What the Factory is not

Off-the-shelf software: it is how we work on your projects.
An anonymous team: you have a named contact, accountable for the result.
An autopilot: choices that commit your company are discussed and made with you.

Describe your project See our solutions

How a project moves forward with us, from your request to delivery

The agent team

Review, fix, tests

The written lesson

Delivered

Technology follows your needs and your architecture

What you can entrust to us

What we build with this workshop

Cloud and Microsoft Azure

Enterprise architecture

Security architecture

DevOps and infrastructure as code

Data engineering

AI and automation

Custom software

Web development

Mobile apps

E-commerce

SaaS and business platforms

Enterprise integration

The rules applied to every project

Security handled from the architecture onwards

Every client stays isolated

Honest test results

Sensitive operations are approved

Open questions go to the person in charge

Lessons are checked before they are applied

What the Factory is not