AI-native software engineering
AI writes more code.
Engineers decide
what ships.
HUB LLC builds, modernizes and repairs production software. Our engineers direct coding agents such as Codex, Claude Code and Cursor, then review, test and release the result themselves.
What we do
Where teams bring us in
A first release, a system that has outgrown its architecture, or code that arrived faster than anyone could review it. Six engagements, one team across code and operations.
AI Coding & Development
New software, useful features and APIs. Built by engineers working with coding agents.
02AI Code Audit & Repair
Understand what you have. Repair the risks. Prepare your software for production.
03AI Software Modernization
Move legacy systems forward without losing the business logic that matters.
04AI Automation & Agents
Connect models to useful business workflows, with boundaries and review built in.
05AI for eCommerce
Better product data, connected operations and controlled automation for commerce.
06Infrastructure & DevOps
Deploy, monitor and maintain the systems your business depends on.
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.
AI code audit & repair
Your prototype runs.
Production is a
different question.
Built something with ChatGPT, Claude, Codex or Cursor and now need it to 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.
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 ↗Generated vs engineered
Generated code is a draft
until someone can operate it
Agents produce working-looking software in minutes. Closing the distance between that and a system your business can depend on is engineering work, and it does not get smaller because the first draft arrived quickly.
What we keep finding
- Logic duplicated across files instead of shared
- Authorization checked in the UI but not on the server
- Secrets and keys committed into the repository
- Dependencies chosen by popularity, not by fit or licence
- Queries that pass in a demo and time out on real data
- No tests, so no way to tell a fix from a regression
- No deployment path, backups or way back to yesterday
What we put around it
- Architecture reviewed against the business logic it serves
- Permissions and data boundaries verified on the server
- Secrets, configuration and environments separated properly
- Dependency and licence review before anything is adopted
- Performance checked against production-shaped data
- Regression tests around the behavior that must not change
- Deployment, monitoring, backups and a tested rollback
AI Engineering Journal
Notes from the work
What we are learning about coding agents, code quality and running AI-assisted software in production.
Explore the journal ↗Before you ship AI-generated code
A practical review checklist: behavior, permissions, dependencies, tests and a release you can recover from.
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Read articleWhat does your software
need to do next?
A new build, a difficult codebase or a system that needs support. Let’s talk.