Our technology stack.
The frameworks, languages, databases and cloud services we build with — proven tools chosen for performance, security and long-term support. See how they power our services.
React
Frontend
Next.js
Framework
Node.js
Backend
Vercel
Edge Cloud
Firebase
Cloud Backend
MongoDB
Database
TypeScript
Language
GraphQL
API
PostgreSQL
Database
Docker
Containers
Tailwind CSS
Styling
React
Frontend
Next.js
Framework
Node.js
Backend
Vercel
Edge Cloud
Firebase
Cloud Backend
MongoDB
Database
TypeScript
Language
GraphQL
API
PostgreSQL
Database
Docker
Containers
Tailwind CSS
Styling
Frontend to cloud
Frontend
Responsive, accessible interfaces and single-page applications.
React
Next.js
TypeScript
Tailwind CSS
Vue
Vite
Backend & APIs
Secure, scalable services, event streaming, and high-performance APIs.
Node.js
Python
FastAPI
Go
GraphQL
REST APIs
WebSockets
Kafka
RabbitMQ
Databases & Caching
Relational modeling, caching layers, and time-series storage.
PostgreSQL
Redis
TimescaleDB
Prisma
Drizzle
MongoDB
Supabase
Cloud, DevOps & CMS
Deployment pipelines, containers, cloud hosting, and headless platforms.
Docker
Kubernetes
Vercel
Cloudflare
GitHub Actions
Firebase
Strapi
Contentful
How we choose technology
Battle-tested tools, strong ecosystems, no vendor lock-in.
End-to-end type safety
Errors caught at compile time, not in production.
Decoupled services
Independent services over clean APIs — no monolithic bottlenecks.
Automated CI/CD
Every change is tested and preview-deployed automatically.
Frequently asked questions
Can you work with our existing technology stack?
Usually, yes. Beyond the tools listed here we regularly work inside existing codebases. If your system uses a technology we would not recommend for the long term, we explain the trade-offs and plan a gradual migration rather than forcing a rewrite.
Why do you mostly use TypeScript, React and Node.js?
They are mature, widely adopted and well supported, which makes your product easier to hire for and maintain after handover. We add Python where data processing or AI work benefits from it, and Go where raw throughput matters.
Do you integrate AI models such as OpenAI or Claude?
Yes. We integrate hosted large language models through their APIs, add retrieval over your own documents using vector search (for example pgvector), and wrap them in workflows with human review where accuracy matters. See AI & Automation.
Need help choosing a stack?
Book a consultation to review your stack or plan a migration.