Architecture philosophy
Boundaries before abstractions. We design clear seams between parts of a system so each can be understood, tested and replaced in isolation.
Engineering
How we actually build.
No mystique — just the practices that make systems correct, fast, secure and operable. This page is written for the engineers who will read our code.
Performance
We measure before optimising. Latency budgets and load profiles are defined up front and verified continuously.
Security
Defence in depth: validated input, least privilege, secure defaults and dependencies kept current.
DevOps
Reproducible environments and automated pipelines so deployment is routine, observable and reversible.
AI workflows
Models live behind interfaces, with evaluation, monitoring and human oversight built into the lifecycle.
Code quality
Reviews, static analysis and tests are non-negotiable. We optimise for the next engineer to read the code.
Deployment lifecycle
From decision to production, and back again
01
Design
Architecture decision records capture the why before any code exists.
02
Build
Feature branches, peer review and static analysis on every change.
03
Verify
Automated tests and CI gates run before anything is allowed to merge.
04
Release
Reproducible builds promoted through environments with safe rollback.
05
Operate
Metrics, logs and alerts close the loop back into design.
System design
A typical request path
Tooling
What we build with
Languages
PHP 8.3TypeScriptPythonSQL
Data
MySQLPostgreSQLRedisVector stores
Frontend
Tailwind CSSAlpine.jsGSAPVite
Infrastructure
DockerLinuxApache / NginxCI/CD
Let's talk
Want this kind of rigour on your system?
Tell us what you are trying to build. We will tell you honestly whether we are the right team for it — and how we would approach it.