How we work
Agents do the volume. Engineers own the result.
AI coding agents are our primary delivery tool, across code, tests, refactoring, documentation, infrastructure and troubleshooting. They speed up the work. They don't replace the responsibility for it.
Define the outcome
We agree what success looks like, how it will be measured and what could go wrong, before anything is built.
Design for the real world
We map your domain, data and constraints, and choose the simplest architecture that will hold up.
Build with agents
Agents write code, tests and documentation in small, reviewable changes. Work that took weeks can take days.
Review everything
A senior engineer reviews every change for correctness, security and maintainability. Nothing merges unread.
Prove it
Automated tests, security checks and staged releases show it works, rather than asking you to take our word for it.
Run it and hand it over
Monitoring, documentation and infrastructure as code mean your team can operate it, with or without us.
Our rules for AI
Fast, and still under control.
People stay accountable
Agents propose. An engineer decides. High-impact actions need human approval.
Your data stays yours
We agree which tools and models may touch your code and data before work starts.
Least privilege
Agents get only the access a task needs, and everything they do is logged.
Measured, not assumed
We test AI features against your own data, and report where they fall short.