Next.js
React framework for full-stack web products
Choose the tool
for the job.
Technologies are useful when they fit the product, the team, and the way a system will be operated. We make those trade-offs explicit.
06 domainsFrontend engineering
The product surface: accessible interfaces, responsive layouts, and fast page experiences.
React
Component model for interactive interfaces
TypeScript
Typed application code and contracts
JavaScript
Web platform and browser integrations
Tailwind CSS
Utility-first styling system
How we choose
We choose the rendering and component model around the content, interaction, and performance needs of the product.
Mobile engineering
Applications that adapt the product experience to device capabilities and daily use.
React Native
Cross-platform native application UI
Expo
Mobile development and release tooling
iOS
Apple mobile platform integration
Android
Android platform integration
How we choose
Shared mobile code can speed up cross-platform delivery; platform-specific behavior remains part of the design.
Backend engineering
Service boundaries, APIs, and business logic that support product behavior.
Node.js
JavaScript runtime for server applications
PHP
Server-side application language
Laravel
PHP application framework
Java
General-purpose language for backend systems
Spring Boot
Java framework for production services
How we choose
Language and framework choices follow the domain, team familiarity, integration landscape, and operational needs.
Databases & data access
Persistent storage and access patterns matched to the shape of the data.
PostgreSQL
Relational database
MySQL
Relational database
MongoDB
Document database
SQL
Language for querying relational data
Prisma ORM
Type-safe database access and migrations
Redis
In-memory data store and cache
How we choose
We model entities, queries, and consistency needs before selecting storage and access tools.
AI & automation
Model-enabled product capabilities connected to context, tools, and review paths.
LLM integrations
Model APIs within product workflows
AI agents
Tool-using workflows with explicit boundaries
Retrieval-augmented generation
Grounding model output in relevant source material
Vector databases
Similarity search over embedded content
Intelligent workflows
Automation with checks and human review
AI-native applications
Products designed around model capabilities
How we choose
We start from a bounded task and select models and retrieval patterns based on quality, latency, cost, and control.
Cloud & DevOps
Hosting, networking, delivery, and operations for software in production.
AWS
Cloud infrastructure and managed services
Microsoft Azure
Cloud infrastructure and managed services
Cloudflare
DNS, edge, and application security services
Docker
Containerized application packaging
Kubernetes
Container orchestration platform
CI/CD
Automated build, test, and delivery pipelines
Vercel
Web application deployment platform
How we choose
We align infrastructure choices to workload, resilience targets, access requirements, and the team's ability to operate them.