Technology in service of the product.
We keep the stack small and proven, and add complexity only when a real requirement asks for it. Here's what we use, and why.
Frontend
Server-rendered React with TypeScript by default — fast first load, typed contracts with the backend.
- React
- Next.js
- Angular
- Vue
- TypeScript
Backend
Node.js/NestJS for most products; Python where data and AI work dominates; Laravel when it fits an existing team.
- Node.js
- NestJS
- Express
- Python
- Laravel
Mobile
Cross-platform for most apps, native modules or fully native apps when the device is the product.
- React Native
- Flutter
- Android
- iOS
Data
PostgreSQL first. Add Redis, search or a document store when a real access pattern asks for it.
- PostgreSQL
- MySQL
- MongoDB
- Redis
Cloud
Containerised services, infrastructure as code, and CI/CD on every repository from week one.
- AWS
- Azure
- Docker
- CI/CD
AI
Model-agnostic: we pick models per task, ground them with retrieval, and measure them with evals.
- Anthropic
- OpenAI
- Hugging Face
- LangChain
- RAG
- AI Agents
How the pieces fit together.
Most products we build start from this shape. It scales a long way before anything more exotic is needed.
What every project gets
TypeScript end to end
Typed APIs and shared schemas between frontend and backend.
CI/CD from week one
Every pull request is tested, previewed and reviewed.
Observability
Error tracking, logs, metrics and uptime alerts before launch.
Infrastructure as code
Reproducible environments in your own cloud accounts.
Have an idea? Let's build it.
Tell us what you're building. We'll come back with questions, a rough approach and how we'd scope a first version.