Frontend Engineering
Fast, accessible interfaces with component systems and clear state boundaries.
- React 18, TypeScript, Next.js, Astro
- Tailwind CSS and reusable UI systems
- Zustand, Redux, Context, form workflows
Technology
Production technology choices for systems that need to scale.
TwinTix uses proven cloud, product, data, AI, and DevOps technologies to build software that is maintainable after launch, not just impressive in a demo.
React
AWS
Node.js
Docker
PostgreSQL
Senior-led architecture
Technology Stack
We choose practical, widely supported tools that your team can keep improving after delivery.
Backend & APIs
Service layers that are testable, documented, and ready for product growth.
- Node.js, Express, Python, FastAPI
- REST APIs, GraphQL, microservices
- Serverless workloads with AWS Lambda
Cloud Infrastructure
AWS architecture designed for uptime, cost control, and operational visibility.
- EC2, ECS, EKS, Lambda, ALB/NLB
- S3, RDS, DynamoDB, ElastiCache
- VPC, CloudFront, Route 53, IAM, KMS
DevOps Automation
Repeatable deployments with infrastructure defined in code and monitored in production.
- GitHub Actions, GitLab CI/CD, Jenkins
- Docker, Kubernetes, Helm, Terraform
- CloudWatch, Prometheus, Grafana, ELK
Data & Storage
Data models, queries, and caching strategies built for real product usage.
- PostgreSQL, MySQL, MongoDB
- DynamoDB, Redis, Timestream
- Schema design and query optimization
AI Security & QA Automation
Production guardrails, AI security checks, automated quality coverage, and measurable release confidence.
- LLM integrations, NLP, computer vision
- Playwright, Cypress, Jest, Vitest
- AI security review and OWASP LLM testing
How We Choose Technology
The stack should reduce risk, not create a dependency maze.
Production First
We prefer tools that are observable, testable, deployable, and proven under load.
Team Friendly
We avoid exotic choices unless they solve a real problem your team cannot solve simply.
Security Aware
Identity, secrets, data boundaries, logging, and compliance are considered early.
Cost Conscious
Cloud and data choices are designed with right-sizing, scaling, and lifecycle costs in mind.
From Idea to Operated System
Technology decisions are mapped to the complete delivery lifecycle.
Requirements, risks, existing systems, users, data, and deployment constraints.
Cloud topology, APIs, data model, security boundaries, and delivery plan.
Frontend, backend, integrations, infrastructure as code, and automated tests.
CI/CD pipelines, staging checks, monitoring, rollback paths, and documentation.
Performance tuning, incident learning, cost optimization, and roadmap support.
Need Help Choosing the Right Stack?
Schedule an appointment. We'll review your product goals, existing architecture, and the safest path forward.
Schedule Appointment › No commitment required