Product Engineering
Full-Stack Development
Front end, back end, data layer and infrastructure, built as one system against shared contracts rather than three hand-offs stitched together at the end. Architecture decisions are recorded, quality has a written definition, and the hand-over is designed so another team could pick the system up tomorrow.
HOW IT RUNS
From empty repository to production
From an empty repository to production in four phases, each ending in an artefact you can inspect.
Requirements & Architecture Design
We map what the system must do, the data model, the service boundaries and the integration points before feature work starts. Each significant decision is written up as a decision record, with the alternatives and the reason.
DELIVERABLES
- Requirements and scope document
- System architecture and data model
- Architecture decision records
- API and integration point map
- Stack recommendation, checked against hiring
- Risk and dependency register
What We Build
One system, front to back
The whole build, or just the layer you're missing. The usual order: architecture, then services and data, then the interface.
Front-End Development
React and Next.js interfaces built from components, designed for the interactions the product actually needs, accessible and fast.
Back-End Development & Architecture
Server logic, data models and APIs built for production load and for the failure paths, not only the happy path.
Microservices Architecture
Separately deployable services where scale or team boundaries justify them, and a well-structured monolith where they don't.
Database & Data Architecture
Relational or document schemas chosen from how the product reads and writes, once the access patterns are actually known.
Cloud-Native Development & Deployment
Containerised services on AWS, Azure or GCP, provisioned as code and sized for real traffic.
Security & Compliance
Authentication, access control and data handling designed into the architecture, with your regulatory obligations as inputs.
Web & Mobile
The same system on every screen
Web, iOS and Android clients built against the same APIs and the same definition of done, so a feature ships to every platform once instead of three times.
01
Web Applications
Responsive React and Next.js front ends that work in a phone browser as well as on a desktop, accessible from the first release.
02
iOS & Android Apps
Native or cross-platform, chosen per product: one codebase where it serves both platforms well, native where device features or performance call for it.
03
One Back End, Every Client
Mobile and web share the same APIs, authentication and data layer, so behaviour does not drift between platforms.
04
Release & Maintenance
Store submission, staged rollouts, crash reporting and operating-system updates planned in, because a mobile app is not finished at launch.
Our Methodology
Architecture comes before features
Schemas, service lines and integration seams are the expensive decisions to reverse. They get made on purpose, early, and on paper.
Decisions Written Down
Every significant architecture choice is recorded with its alternatives and reasons, so nobody has to reverse-engineer intent later.
Built for Projected Load
Performance targets come from real traffic and data projections set in architecture, not discovered at the first spike.
Tests at Every Layer
Tests at three levels - unit, integration, end to end - so a green UI suite can't mask a broken service.
Quality With a Definition
Review rules, test gates and a definition of done are agreed before the first sprint. Good code stops being a matter of opinion.
Engineering Practice
Full-stack systems engineered to scale, and to hand over
Undocumented systems look fine until the first real surge or the first new hire. Operability is built in from the first commit.
Standard tools, documented choices. Any capable team can pick up the codebase, the infrastructure and the reasoning behind them.
Modular Architecture
Components and services that can be replaced or scaled on their own, so changing one doesn't mean touching the rest.
Code Quality Standards
Every pull request reviewed and covered by automated tests before it merges, so technical debt can't pile up quietly.
Documentation
API contracts, data models, decision records and runbooks written as the system is built, not reconstructed at the end.
Security by Design
Identity, encryption and permissions designed alongside the data model, not bolted on before release.
Performance Benchmarking
Load tests built from projected traffic rather than best-case synthetic numbers.
Compliance Readiness
For regulated industries, the controls your obligations require are designed in rather than retrofitted before an audit.
Technology Stack
Technologies we build with
No single stack. Front-end, back-end and cloud choices follow what the system must do, how it must scale, and who will maintain it after launch.
React / Next.js
Rich interfaces, heavy interactivity, and pages that need to rank in search.
Vercel / Node backendNode.js / Python
Server-side logic, live updates, data jobs and partner connections.
AWS · Azure · GCPPostgreSQL / MongoDB
Relational data in PostgreSQL; flexible or document-shaped data in MongoDB.
Managed cloud / self-hostedDocker / Kubernetes
Containerised services, deployed and scaled independently.
Docker / KubernetesChosen for maintainability. The stack has to suit the system and the team that will run it, including the people you can hire.
Cloud & DevOps
Docker
KubernetesTesting & QA
CI/CD
GitHub
Actions
JenkinsWhere It Breaks
Three ways full-stack builds go sideways
Each one starts as a shortcut that looked cheap at the time.
Front and Back Built Apart
Two teams build to a spec instead of to each other. Integration problems that should surface early surface late, after both halves already exist.
Architecture by Default
The stack and data model are picked because they're familiar, not because they fit. The rework arrives with the first real traffic.
Testing Saved for the End
QA scheduled as a phase after development. Bugs that were cheap to fix early become expensive to fix late.
Why Us
How we build full-stack systems
The difference shows up in what you can inspect: the decisions, the tests and the hand-over.
01
Architecture Reviewed First
No sprint starts until the architecture has been drawn, challenged and signed off.
02
Contracts Between Layers
Front end and back end build against shared API contracts, so integration isn't a surprise at the end.
03
Proved Under Load
Each build is benchmarked against traffic and data-volume projections before launch, not only checked for working features.
04
A Hand-Over Another Team Can Use
Decision records, runbooks, infrastructure as code and onboarding guides, so the system never depends on one person.
Vertical Focus
Full-stack systems for industries where downtime costs money
In some sectors a bug is an annoyance. In healthcare, banking or manufacturing, an outage or a wrong data model comes with a price tag.
Systems built for care settings
- Patient intake and scheduling, end to end
- Encrypted storage and role-based access for patient data
- EHR and clinical workflow integrations
- Telehealth and remote monitoring platforms
- Lab and diagnostic data pipelines
Back ends built for real-time load
- Payment and transaction processing
- Fraud-detection services with real-time alerts
- Audit-trail logging on every transaction
- Onboarding and KYC flows
- Core banking and ledger integrations
Systems for connected vehicles
- Telemetry pipelines built for scale
- Dealer inventory and CRM integrations
- Fleet dashboards on live data
- Infotainment and telematics back ends
- Maintenance pipelines feeding service alerts
Systems for shop-floor operations
- Production dashboards on live floor data
- ERP and inventory integrations
- IoT data pipelines for maintenance
- Supply-chain visibility dashboards
- Quality-control data linked to production
Systems built for field conditions
- Offline-first sync for field devices
- Crop and yield monitoring dashboards
- Sensor and IoT data pipelines
- Farm management systems linked to equipment
- Weather and soil data feeding irrigation
Systems built around how people buy
- Checkout and payment gateway integrations
- Inventory and order management
- Recommendation and search back ends
- Loyalty and rewards integrations
- Omnichannel fulfilment pipelines
FAQs
Full-stack development, answered
Everything from screen to server: interface, services, data and the cloud they run on, delivered as one piece.
It depends on scope, integrations and how much already exists. The architecture phase produces a phased plan with a named deliverable for each phase, before feature work starts.
Yes, or start fresh. Either way, the first step is an architecture review of whatever exists.
The codebase, infrastructure as code, CI/CD pipelines, architecture decision records, API documentation, runbooks, and knowledge-transfer sessions for your team.
From what the system must do, how it must scale, and who will maintain it. A stack your team can hire for usually beats a marginally better one nobody on the market knows.
Healthcare, banking and insurance, automotive, manufacturing, AgTech and retail, as well as general SaaS and mobile products.
Ready to
map the architecture first?
New product or overdue rebuild, the starting point is the same. We'll map the architecture, the data model and the integration points, and set out a phased plan before feature work starts - for a new system or the next one on your roadmap.
Have a project in mind?
Bring the problem. The first call is about specifics, not slides.