Technologies
Tools chosen for the problem in front of us.
We choose tools that stay understandable and maintainable after launch. The stack follows the problem.
Frontend
- React
- A mature ecosystem and a familiar foundation that future product teams can maintain.
- Next.js
- Rendering, routing and caching in one framework for fast, dependable web products.
- TypeScript
- Clearer contracts between parts of the application and earlier feedback when something changes.
- Tailwind CSS
- A practical way to keep spacing, colour and typography consistent as the interface grows.
- Framer Motion
- Controlled interface motion that supports orientation and feedback without distracting from the task.
Backend
- Node.js
- One language across browser and server can simplify development and reduce duplicated work.
- Go
- Predictable performance and simple deployment for focused services with demanding workloads.
- Python
- A strong fit for data processing, automation and machine-learning workloads.
- NestJS
- A clear application structure that helps larger backends remain easy to understand and extend.
Mobile
- React Native
- A shared foundation for iOS and Android, with native integrations where the product needs them.
- Expo
- A well-supported build and release workflow that makes mobile delivery easier to operate.
Cloud
- AWS
- A broad set of managed services for products with complex infrastructure or compliance needs.
- Vercel
- Fast web delivery and a reviewable preview for every meaningful change.
- Cloudflare
- Global delivery, traffic protection and edge services brought together in one platform.
Data
- PostgreSQL
- Reliable relational data, flexible query options and a long operational track record.
- Redis
- Fast temporary storage for caching, queues and request controls when the product needs it.
- Supabase
- Postgres, authentication and storage in one practical foundation for moving quickly.
- pgvector
- Semantic search alongside existing Postgres data, with fewer systems to maintain.
AI
- OpenAI API
- Flexible language and reasoning capabilities with tools suited to production applications.
- Anthropic Claude
- A useful option for document-heavy workflows and tasks that require careful instruction handling.
- LangGraph
- Explicit workflow state for AI systems that need to be traced, tested and recovered safely.
Infrastructure
- Docker
- A consistent application environment from local development through to production.
- Kubernetes
- Container orchestration for systems whose scale and operational needs justify the added complexity.
- Terraform
- Infrastructure defined, reviewed and reproduced through version-controlled code.
- GitHub Actions
- Automated checks and releases tied directly to the way the team reviews code.
Security
- Auth0 / Clerk
- Established identity services for secure sign-in, sessions and account management.
- Snyk
- Dependency and code risks surfaced while changes are still under review.
- Sentry
- Actionable error details that help the team find and resolve production issues quickly.
Start with the problem you want to solve.
Have an idea worth building?
Tell us what you're thinking. We'll help you turn it into a clear plan and a working product.