AI-native development & eCommerce engineering
Build. Automate.
Grow with AI.
AI-native development and eCommerce engineering for companies and Nordic agencies. Our engineers direct coding agents such as Codex, Claude Code and Cursor, then review, test and release the result themselves.
Try HUB AI audit
Is your store ready
for AI shopping?
Enter your store’s address for a free public check of search foundations, AI crawler access, product data, trust signals and performance. Every finding shows its evidence and the next step.
What we do
Build. Automate. Grow.
Three ways we bring AI into a business, delivered by one engineering team across code, data and operations.
AI-Native Development
Senior developers direct coding agents, backed by automated QA and human review. New products, difficult codebases and AI-built apps made ready for production.
AI Business & eCommerce Automation
Assistants and workflows that take repetitive work off your team, with validation and human approval where it matters.
AI Commerce & AI Search
Prepare your store for customers who discover and buy through AI assistants, without giving up conventional search.
AI-native delivery
A reason to choose HUB
because AI exists
Coding agents change how software gets built. We use them to shorten the path from requirement to release, while engineers keep responsibility for architecture, security, QA and production.
One developer, one task at a time
- Requirement
- Developer writes the code
- Manual QA
- Deploy
Engineers direct parallel agents
- Requirement
- Technical specification and acceptance criteria
- AI coding agents on bounded tasks
- Parallel implementation and tests
- Senior developer review
- Automated QA and security checks
- Production deployment and monitoring
The engineering behind the AI
How the work
actually runs
An agent that has read your repository still has not read your contracts, your incident history or the reason a table is shaped the way it is. That context is what decides whether generated code belongs in the system.
Our engineers scope the task, supply that context, and review every diff. Tests, dependency and permission checks and a release plan turn the output into something your team can operate on a Monday morning.
Inside our engineering process ↗- 01 /
Understand
Business goals, codebase, constraints.
- 02 /
Design
Architecture, scope, acceptance criteria.
- 03 /
Build with agents
Bounded tasks, context and version control.
- 04 /
Verify
Automated tests and human review.
- 05 /
Operate
Deploy, monitor and plan for recovery.
Can AI automate this?
What does your team
repeat every week?
Describe the task in a sentence or two. You get an instant pre-assessment: automation potential, a possible solution and where a person should stay in control. Then send it to HUB engineers if you want a second opinion.
AI Code Rescue
Built your app with AI?
Now make it
production ready.
Claude, Codex, Lovable, Bolt or Replit generated your application. It works, but can it handle real users, real data and real money? We audit what exists, repair what is fragile and tell you plainly what is worth keeping.
- 01Audit the system
Architecture, security, dependencies and business logic.
- 02Repair the right things
Prioritized fixes with reviewable changes.
- 03Stabilize the behavior
Regression tests, integration checks and performance.
- 04Prepare for production
Deployment, monitoring and a recovery plan.
HUB Agentic Commerce Lab
Watch a shopping agent
work through a request
“Find me a waterproof hiking jacket under €150, in size XL, deliverable to Riga within three days.” Our demo agent searches a catalog, checks stock and delivery, compares the options and prepares a cart for the shopper to confirm. We build the data and integrations that make this work in a real store.
- 01Understand the request
Product type, budget, size, destination and delivery time.
- 02Check the catalog
Attributes, prices, stock by location and delivery estimates.
- 03Compare and recommend
Explain why one product fits and the others do not.
- 04Hand over to checkout
A structured cart that the shopper confirms.
Your client.
Our engineering.
Experienced technical capacity behind your brand. AI development, custom software, difficult codebases and infrastructure — with confidential cooperation and direct access to specialists in European working hours.
Explore white-label partnership ↗Commerce work has
its own home
MagentoHUB is HUB LLC’s specialist Magento & Adobe Commerce division. Deep commerce experience strengthens our engineering. The specialist offering has its own home.
Visit MagentoHUB ↗AI Engineering Journal
Notes from the work
What we are learning about coding agents, AI commerce, code quality and running AI-assisted software in production.
Explore the journal ↗Is your online store ready for AI commerce? What a readiness audit should check
The product data, structured markup, technical access, merchant trust and integrations a store needs before AI assistants and shopping agents can understand what it sells.
Read article Commerce · 2026-09-12AI Commerce Ready: preparing Magento and Shopify stores for AI-driven shopping
A five-layer framework for making product data, structured information, feeds and integrations usable by search engines, AI assistants and emerging shopping agents.
Read article Search & discoverability · 2026-09-12AI visibility monitoring: how to measure whether AI assistants recommend your business
How to build a prompt set, measure mentions, citations and share of voice, check accuracy and turn sampled AI answers into content and technical decisions.
Read articleWhat does your software
need to do next?
A new build, a difficult codebase or a system that needs support. Let’s talk.