Technology and Architecture
Capability areas, not partnership claims. Technology decisions depend on business requirements, team capability, scale, complexity, and operational maturity.
Technology Capabilities
Frontend
- Next.js
- React
- TypeScript
- JavaScript
- HTML
- CSS
- Tailwind CSS
Mobile
- Flutter
- Dart
- React Native
- Android
- Kotlin
Backend
- Kotlin
- Java
- Spring Boot
- Node.js
- Python
- REST APIs
Databases
- PostgreSQL
- Relational databases
- Document databases where appropriate
- Vector databases where appropriate
Infrastructure
- Docker
- Cloud platforms
- CI/CD
- Infrastructure as code
- Observability
AI
- LLM integrations
- RAG
- Vector search
- Embeddings
- AI agents
- Evaluation systems
Architecture Before Complexity
Technology decisions depend on business requirements, team capability, scale, complexity, reliability requirements, security, budget, operational maturity, and expected evolution.
Modular Monolith
A single deployable unit with well-organized internal modules — simpler to operate while maintaining code-level separation.
Monolith
A unified application — appropriate for smaller teams and projects where operational simplicity matters most.
Microservices
Independent services communicating over a network — suitable for larger teams and complex domains with clear boundaries.
Event-Driven Architecture
Services communicate through events — enabling loose coupling and asynchronous processing for specific use cases.
API-First Systems
Systems designed around well-defined APIs — enabling multiple clients and integrations from the start.
Serverless
Cloud-managed functions that scale automatically — appropriate for variable workloads and specific operational profiles.
Cloud-Native
Systems designed to leverage cloud platform capabilities — including managed services, auto-scaling, and resilience.
Hybrid Architectures
Combining multiple approaches where appropriate — pragmatic systems that fit the specific problem rather than a single pattern.
The best architecture is not the most fashionable architecture. It is the architecture that appropriately fits the problem.
Quality and Security
Software That Can Be Trusted
Quality should be engineered into software throughout its lifecycle. Unit testing, integration testing, API testing, end-to-end testing, performance testing, accessibility testing, and CI/CD quality gates.
Security Is Part of Engineering
Secure development practices, authentication, authorization, secrets management, dependency security, input validation, secure APIs, and data protection — integrated throughout the lifecycle.