Discipline
We build the product itself.
Domain model, API, interface and the release process that carries them into production — designed together, by the people who then run them.
The argument
Software is a system, not a screen.
Most products stall in the same place. The interface is finished, and underneath it nothing quite agrees: two services hold the same customer in two shapes, a background job rewrites what the API just returned, and every new feature costs more than the last one did.
We start from the domain instead. What the business actually calls things, what a valid state looks like, which rules must never break — written down, encoded once, and enforced at the boundary rather than repeated in every handler. The interface is then a view of a model that already holds together.
The release process is part of the product, not a chore bolted on after it. Migrations run forward and back, a deploy is one command an on-call engineer can run at midnight, and every version traces to the commit that produced it. That is what makes the second year of a product cheaper than the first.
Deliverables
What an engagement leaves behind.
Every line below is an artefact you can open, run or read — not a status report about one.
Domain model
The nouns, states and rules of your business, written as types and enforced in one place instead of six.
Versioned API
A documented contract with request and response shapes validated at the edge, so a change on one side cannot silently break the other.
Production interface
The screens people actually work in — accessible, responsive, and assembled from components your team can extend without us.
Data layer and migrations
A schema with migrations in both directions, seed data, and a restore you have practised rather than assumed.
Tests along the real paths
The flows that carry money, data or trust, covered and run on every commit instead of the week before a release.
Deployment pipeline
Build, check, deploy — one pipeline in your accounts, reproducible from a clean checkout on a new machine.
Observability
Logs, traces and the handful of alerts that mean something, wired in before launch instead of after the first outage.
Runbook and handover
How to deploy, roll back, rotate a key and reach the right person — written for whoever takes it on next.
How it runs
From the domain to the deploy.
No discovery theatre. Each step ends with an artefact — a written model, a running slice, a deployed version.
Model
A working session with the people who own the process. We leave with the domain written down: entities, states and the rules that must hold.
Thin slice
One path cut through the whole system — interface, API, data, deploy — proven in code before the estimate hardens.
Build
Weekly demos in your environment. Scope moves in the open, and tests ship with the feature rather than behind it.
Harden
Load, failure and recovery tested on purpose: what happens when a dependency slows, a job retries, or a migration has to go back.
Hand over
A tagged release, a written runbook and a walkthrough with the team taking it on — booked before the last sprint, not after it.
Walkthrough
One release, end to end.
Placeholder for a short screen recording: a single change from pull request to production.
Tooling and handover
The system a stranger can run.
We build in your accounts from the first commit: your repository, your cloud, your keys. Nothing we set up depends on a licence in our name or a machine on our desk.
What arrives at the end is not an archive to unpack. It is a repository whose README works, a pipeline that deploys it, and a runbook covering the operations a team actually needs at two in the morning.
- Your repository, your cloud accounts, your keys.
- A clean checkout builds and deploys with one command.
- Rollback, key rotation and on-call written down before launch.
Stack
What we reach for on product work.
- TypeScript
- Node.js
- React
- Next.js
- Python
- PostgreSQL
- Redis
- Prisma
- Zod
- Docker
- GitHub Actions
- Terraform
- Vitest
- Playwright
- OpenTelemetry
- Stripe
Chosen per project — the stack your team already runs usually wins.
The case studies on this page are illustrative examples standing in for published work. No client is named and no figures are claimed.See all work
Questions
Asked before a product build starts.
Do you take on existing codebases?
Yes — taking on an existing codebase is normal work for us. We start with a read-through and a written account of what we found: the parts worth keeping, the parts to isolate, and the first change that makes the rest safer.
We do not propose a rewrite unless the alternative is genuinely worse, and we put the reasoning in writing either way.
How do you work with our engineers?
In the same repository, on the same board, with review going both ways. Pairing on the first slice is usually the fastest way for a team to inherit the patterns we introduce.
If your engineers would rather own the interface and have us take the platform underneath, that split works too.
What if the scope changes mid-build?
It usually does. Scope moves in the open at the weekly demo: something goes in, something comes out, and the trade is recorded rather than absorbed quietly.
What does not move without a conversation is the date and the budget.
What happens after launch?
You already own everything, so nothing has to be transferred. Some teams carry on with the runbook; others keep us for a fixed number of days a month for review, upgrades and on-call cover.
Either way it is a decision, not an automatic renewal.
Next step
Describe what you need built.
One conversation, no deck. Tell us the problem in plain language and we will say honestly whether product engineering is what you need — and what the first two weeks would look like.