Bugs that live on the frontend-backend boundary
The frontend sends the right data, but the backend expects a different shape. Neither team owns the contract, so the bug sits in a ticket marked 'awaiting clarification' while users keep complaining.
Full-Stack Development
One team, end-to-end ownership.
Frontend, backend, APIs, and database, all handled by one team with no gaps between handoffs. When a bug sits on the boundary between frontend and backend, one team owns both sides and fixes it. When your requirements change, the whole stack updates at once.
- React and TypeScript frontends, tested end to end
- Node or Python backends with clean, documented API contracts
- PostgreSQL, Redis, and a data layer that's properly modelled and migrated
- AI and LLM features treated as real, first-class deliverables
A modern, maintainable stack your team can hire for and keep.
Why
Split teams tend to build split products.
When the frontend and backend belong to separate teams, or worse, separate agencies, bugs settle on the boundary between them. Each side says it's the other's problem. We build the full stack so nothing slips through that gap.
An API built for one consumer, now forced to serve three
It was built for the web app. Now mobile and a partner integration both need it too. Changing it breaks the original consumer, and bolting on endpoints with no design behind them just makes a mess.
A database schema that doesn't fit the real queries
It was designed in the first sprint and never looked at again. Queries are slow, the joins are tangled, and every new feature means another painful migration.
LLM features bolted on after launch
A chatbot with no idea of the app's context. A search function that ignores the data model. They feel disconnected because that's exactly what they are.
The Process
How the work actually runs.
Each step has a clear deliverable and a written handoff, and we get your sign-off before moving to the next one.
01
System architecture design
We design the full system before any code: API contracts, the data model, service boundaries, and integration points. The architecture is reviewed and agreed before implementation starts.
02
Frontend development
React with TypeScript, a component-driven architecture, unit and integration tests, and Storybook documentation, all built to the design system spec.
03
Backend development
A Node or Python API with documented, versioned endpoints, input validation, authentication and authorisation, and error handling clear enough for clients to debug against. Database migrations are kept in version control.
04
AI integration
LLM features built as real capabilities, with prompt engineering, context management, caching, rate limiting, and fallback handling. This is not a chat widget dropped into an iframe.
05
Testing and handover
End-to-end tests on the critical user flows and load testing at production-grade volumes. We hand over a CI/CD pipeline, documentation, and a working session to bring your team up to speed.
The Result
What you walk away with.
Real deliverables you can point to and outcomes you can measure. Not a slide deck.
Oneteam, full stack
No boundary bugs and nobody passing blame
When the same team owns the frontend, the backend, and the database, a boundary bug has a clear owner. That means it gets fixed.
DocumentedAPI contracts
APIs other teams can genuinely integrate with
Every endpoint is documented in OpenAPI, tested, and versioned, so your mobile team, your partners, and your future self can integrate without setting up a meeting.
Version-controlledmigrations
A database schema you can evolve safely
Every schema change is a tracked migration you can roll forward or back. Staging matches production, and no new feature needs hand-written SQL run against the database.
AI features that feel built in, not bolted on
LLM integrations designed around the application's data model and its user journeys, rather than a generic chatbot pasted in as an afterthought.
FAQ
Common questions.
Do you work with our existing backend, or insist on a full rewrite?
We work with whatever is worth keeping. We review the codebase, separate what's sound from what's a load-bearing risk, and propose what to evolve and what to replace. Full rewrites are expensive and usually avoidable.
Can you integrate with third-party APIs and our existing data sources?
Yes. Payment gateways, CRMs, ERPs, and other external APIs are routine for us. We document the integration contracts and build with the failure modes in mind from the start.
How do you handle AI and LLM features?
We treat them as real engineering problems: prompt design, context retrieval with RAG, caching, rate limiting, fallback behaviour, and observability. Not a chat widget dropped onto a page.
How do you choose the tech stack for a project?
We choose for your team and your problem, not for novelty. Our default is React and TypeScript on the frontend with a Node or Python backend, PostgreSQL, and Redis, because they're proven, well documented, and easy to hire for. If your context calls for something different, we say so and explain why.
Do you handle both frontend and backend with one team?
Yes, that's the point of full-stack. One team owns the frontend, the backend, the APIs, and the database, so a bug on the boundary between them has a clear owner and gets fixed instead of bouncing between teams blaming each other.
How do you design and document APIs?
Every endpoint is designed up front as a versioned contract, documented in OpenAPI, validated, and tested. That means your mobile team, your partners, and your future self can integrate against a clear spec without booking a meeting to ask how it works.
How do you approach the database and data modelling?
We model the schema around the queries the application actually runs, not just the first sprint's needs. Every schema change is a tracked migration in version control that you can roll forward or back, and staging matches production so there are no surprises.
Can the application scale as our traffic grows?
We design for it from the start: stateless services that scale horizontally, Redis for caching and queues, sensible database indexing, and load testing at production-grade volumes before launch. We build for realistic growth rather than over-engineering for traffic you don't have yet.
What does a typical project timeline look like?
It depends on scope, but most full-stack builds run in phases: architecture and design, then iterative development of frontend and backend in parallel, then testing and handover. We share a phased plan with milestones up front so you can see progress against it rather than waiting for a big-bang reveal.
What happens for maintenance after launch?
We hand over a CI/CD pipeline, documentation, and a working session to bring your team up to speed, so you can run it yourselves if you want. If you'd rather we stay on for maintenance, monitoring, and new features, we offer that as an ongoing arrangement too.
Contact UsEmail
[email protected]
Have a project in mind? Let's build it.
Tell us where the project stands right now. Within one working day we'll come back with a straight read on scope, timeline, and cost. There's no commitment in asking.
Office
Surabaya, Indonesia
Starting price
From USD 4,000
Typical projects: USD 4,000–25,000