Product engineering, from first commit to production load
Most products do not fail because the code was wrong. They fail because nobody owned the whole path from idea to something users could actually rely on. We take that path.
You might be here because
Situations we are brought in for
- You have a roadmap and no engineering capacity to execute it.
- A prototype proved the idea, and now it needs to become a real product.
- Your team ships features but cannot get ahead of the bug queue.
- You need senior engineers who can make product decisions without a spec for every screen.
What you get
Concrete deliverables, not a retainer with a hope attached
Discovery and technical shaping
We turn a fuzzy goal into a scoped plan: what to build, in what order, and what we are deliberately not building yet.
Design and build
Interface, application and data layer, built as one system. Typed end to end, tested where tests earn their keep.
Production readiness
Observability, error budgets, CI/CD, migrations and rollback paths — the parts that decide whether launch week is calm or not.
Handover or ongoing ownership
Documented, reviewed and handed to your team — or kept running by ours. Both are first-class outcomes.
How it works
Four phases, each with an exit you control
- 01
Shape
A short, paid discovery. We map the problem, the constraints and the riskiest assumption, and write down what success looks like.
- 02
Prove
We build the thinnest thing that removes the biggest risk — usually a working slice through the whole stack, not a mockup.
- 03
Build
Two-week cycles, demoed at the end of each. You see working software continuously, not a status report.
- 04
Harden
Load, failure modes, monitoring and the operational runbook — before launch, not after the first incident.
Tools we reach for
Chosen per problem, not per fashion
This is what we use most for product engineering. If your team is already productive in something else, we work in that instead — familiarity in your team beats preference in ours.
- TypeScript
- SvelteKit
- React
- Node.js
- Python
- PostgreSQL
- Docker
Where this usually starts
Build Cycle
Most common
Build Cycle
Getting a defined product or feature set shipped to production
A dedicated senior team working in two-week cycles against an agreed outcome. You see working software at the end of every cycle and can change direction between them.
- Typical duration
- From 6 weeks
- Commitment
- Rolling, cycle by cycle
Includes
- A senior team sized to the work
- Two-week cycles with a working demo at the end of each
- Direct access to the engineers building it — no account layer
- Your repositories, your CI, your review process
- Production readiness and handover built into the plan
You keep
- Working software in production
- Test suite and CI pipeline
- Architecture and operations documentation
- Handover sessions with your team
Fee agreed after scoping. No commitment to that conversation.
Common questions
Can you work alongside our existing engineers?
Yes, and it is often the best setup. We join your repositories, your review process and your standups. Your team keeps context and gains capacity, rather than handing a black box to an outside vendor.
What happens to the code when the engagement ends?
It is yours throughout. We work in your repositories under your licence from day one, and the final week of any build is spent on handover: documentation, architecture notes and a walkthrough with whoever inherits it.
Do you do design as well as engineering?
We do interface and interaction design as part of building. If you need brand identity or a full design system from scratch, we will tell you plainly and help you find someone who specialises in it.
Related reading
Twelve questions to ask a development agency before you sign
The questions that reveal how an agency actually operates - including the ones we would rather not be asked, and what a good answer sounds like.
A technical due diligence checklist you can run yourself
The questions we ask when assessing an unfamiliar codebase, in the order we ask them, with what each answer actually tells you.
Other services
Platform & infrastructure
Make deploys boring, incidents rare, and cloud spend explainable.
Legacy modernisation
Untangle the system nobody fully understands — without stopping the business.
AI & applied ML
Put language models into production without betting the product on a demo.
Custom software
For the process no product on the market actually fits — built once, properly.
SaaS development
Multi-tenancy, billing and onboarding — the unglamorous parts that decide whether it scales.
Web applications
Serious applications in the browser — dashboards, editors, real-time tools that stay fast with real data.
API development
Interfaces other engineers have to live with — versioned, documented and hard to misuse.
Mobile apps
Apps that work on a bad connection, clear store review, and can be shipped weekly.
Next step
Think this is your problem?
Send us the shape of it. We will tell you whether it is a fit, what we would do first, and roughly what that takes.