Software people actually use, not just dates met
This is the practice the rest of the company was built on top of. The technology list is not the interesting part, what matters is whether the thing works, gets used, and can still be changed a year from now.
Products, not deliverables
A feature list is easy to satisfy and easy to get wrong. We start from what the product is supposed to change for the person using it, then work backwards into the build.
Web applications
Dashboards, portals, internal tools and customer platforms. React and Next.js on the front, Node or Python behind, with the state and performance work that stops complex screens from getting slow.
Mobile apps
React Native and Flutter for most products, native Swift or Kotlin where the platform APIs demand it. Store submission, release channels and crash reporting included rather than assumed.
Product design and UX
Research, flows, prototypes and a design system engineers can build from without guessing. Designers sit inside the build team, not upstream of it.
APIs and integrations
The half of a product nobody demos: payments, CRM, ERP, identity, messaging, and the third-party service whose documentation was last accurate in 2019.
Data models that last
Schemas designed for the questions you will ask in year two. Most of the painful rewrites we get called into started as a data modelling decision, not a framework choice.
Rescue and modernisation
Taking over a codebase from a team that has moved on. Comprehension and risk pass first, stabilise what breaks most often, then improve incrementally. A rewrite is a last resort, not an opening position.
What "done" means here
It works on real devices
Tested on the hardware and network speeds your users actually have, not just the newest phone on office wifi.
It can be handed over
Documented, conventional and tested. The next engineer to open the repository should not need a call with us first.
It stays fast as it grows
Performance budgets set early and checked in CI, because retrofitting speed into a mature product costs several times what building it in did.
Someone is accountable
A named engineering lead who knows your product, stays on it, and answers the awkward questions directly rather than routing them.
Short loops, visible progress
Discovery and shaping
We pin down the users, the jobs and the constraints, then write a build plan with a fixed first milestone. Anything we think you should not build gets said out loud here.
Two-week sprints
A working deployment at the end of every sprint on an environment you can click through. Scope changes are welcome and always arrive with their trade-off attached.
Launch and iterate
Release, monitoring, and a backlog reprioritised from what real usage shows rather than what the original plan assumed.
What we build with
Questions we get asked
Reviews
