Expertise

Competence is boring to write about and obvious to work with.

You cannot tell good engineering from a website. So rather than adjectives, here is specifically what we know, how we work, and what you should ask us to prove.

  • Core strength

    The PHP ecosystem, properly

    Not one framework, but the whole ecosystem — because real systems are rarely greenfield. We build new work in Laravel and Slim, and we are equally at home maintaining, securing and migrating the CodeIgniter and Zend applications that still run a great many businesses.

    • Laravel
    • Slim
    • CodeIgniter
    • Zend / Laminas
    • Composer
    • PHPUnit
  • Interfaces

    Front end that stays fast

    React and TypeScript where an application genuinely needs them, and plain, well-built HTML and CSS where it does not. Knowing which is which is most of the skill, and choosing the heavier option by default is how sites end up slow.

    • React
    • TypeScript
    • Node.js
    • Modern CSS
    • Accessibility
    • Core Web Vitals
  • Foundations

    Data and messaging

    Schema design that will still make sense after three years of change, queries that stay fast as the table grows, and message-driven architecture for the work that should happen reliably in the background rather than while a customer waits.

    • MySQL
    • Redis
    • Elasticsearch
    • RabbitMQ
    • Queue design
    • Caching
  • Operations

    Cloud and delivery

    Infrastructure sized for the business rather than for a diagram, deployment that is routine instead of eventful, and enough observability that a question about last Tuesday has an answer.

    • AWS
    • Docker
    • GitLab CI
    • GitHub Actions
    • Monitoring
    • Runbooks
  • Interoperability

    Connecting systems

    Experience across commerce platforms, ERP and finance systems, logistics and warehouse software, payment providers and marketplaces. The specifics differ every time; the discipline — canonical models, idempotency, replay, reconciliation — does not.

    • REST & GraphQL
    • SOAP
    • Webhooks
    • SFTP & flat file
    • Idempotency
    • Reconciliation
  • Pragmatic use

    AI, used with judgement

    Practical use of language models for extraction, search and drafting, with clear boundaries about what they are allowed to decide. We also use them in our own delivery, which is part of how a small team covers this much ground.

    • LLM integration
    • Retrieval
    • Document extraction
    • Evaluation
    • Guardrails

Product and company names on this page belong to their respective owners. QuadOrigin is an independent engineering firm and holds no reseller or partner status with any vendor named here; what we offer is direct working experience with these technologies.

How it fits together

The shape of most things we build

Whether it is a brochure site or an order platform, the anatomy is the same — the layers just get thicker. Keeping them properly separated is why a system can be changed cheaply two years later.

  • Interface layer

    What people actually touch: a site, a storefront, an internal portal. Fast, accessible, and thin — no business rules hidden in a template.

  • Application layer

    The business rules, in one place, tested. This is the part that is genuinely yours, and the part worth protecting from every fashion in front-end tooling.

  • Data and services

    A schema designed for how the data will be asked about, with caching and background work where they earn their keep.

  • Integration edge

    Adapters to whatever else you run. Contained at the edge, so a change in someone else's system is a small change in yours.

  • Run and observe

    Deployment, monitoring and backups treated as part of the build. A system nobody can safely deploy or diagnose is not finished.

Engineering practice

What you should hold us to

  • Everything is reviewed

    No code reaches your main branch without another engineer reading it. On a small team that is a discipline, not a process — and it is the cheapest defect-finding there is.

  • Tests where they buy safety

    We test the things that would be expensive to get wrong, and we do not chase a coverage percentage for its own sake. You should ask what is tested and why; we will have an answer.

  • Security is not a phase

    Dependency patching, parameterised queries, escaped output, CSRF protection and sensible headers are table stakes rather than a hardening sprint at the end.

  • Written down, not remembered

    Architecture decisions, runbooks and handover notes are deliverables. If a new engineer on your side cannot pick the system up from the documentation, we have not finished.

  • Your repository, your cloud

    Code lives in your GitHub or GitLab organisation and runs in your cloud account from the first commit. There is no handover cliff because there is nothing to hand over.

  • Estimates you can question

    We show the reasoning behind a number, not just the number. When an estimate starts drifting you hear about it in that fortnight, not in the retrospective.

Put us to the test.

Ask us how we would approach your actual problem. A half-hour call with an engineer will tell you more about competence than any page can.