Technology
Opinions over options.
Reliability over hype.
Every tool in our stack earned its place by surviving production traffic, real users, and unreasonable deadlines. We don't adopt technology because it's trending. We adopt it because it solves problems we've actually hit.
Engineering principles
Opinions we hold. Strongly.
These aren't marketing claims. They're the principles that dictate every architecture decision, code review, and technology choice we make.
Boring technology wins
PostgreSQL has been around for 30 years. It'll outlive whatever database-of-the-year just launched. We pick tools with track records, not Twitter hype.
TypeScript everywhere
Frontend, backend, infrastructure-as-code. One language across the entire stack means fewer context switches, shared types, and bugs caught at compile time — not at 3am.
Right tool, right job
Python for AI. Node.js for real-time. React Native for mobile. Next.js for web. We don't force one hammer for every nail. The problem dictates the tool.
Automate the boring parts
CI/CD, testing, deployment, monitoring — if a human does it manually, it's a bug waiting to happen. We automate from day one, not as a 'nice to have' in sprint 20.
Scale is a day-one decision
You can't bolt on scalability later. Database design, caching strategy, queue architecture — these choices made at the start determine whether your product survives success.
Vendor lock-in is technical debt
We use cloud services, but we architect for portability. If you need to move from AWS to GCP, the migration shouldn't require a rewrite.
Production-First
Every tool earns its place by surviving real traffic, real users, real edge cases.
Modern, Not Trendy
We adopt technologies after they prove themselves — not when they launch on Product Hunt.
Right Tool, Right Job
No dogma. PostgreSQL where it fits. MongoDB where it fits. The problem dictates the choice.
AI & Machine Learning
The intelligence layer. We use the best model for each task — not one LLM for everything.
Frontend & Mobile
What users touch. Fast, accessible, and beautiful on every device.
Backend & APIs
The engine. Handles scale, real-time, and complex business logic.
Databases & Storage
Where data lives. Chosen by access pattern, not habit.
Cloud & Infrastructure
Ships, scales, and stays up. Automated from commit to production.
Integrations & Services
The connective tissue. Payments, auth, comms, government APIs — all wired in.
Decisions, not defaults
Why we chose what we chose.
Every technology is a tradeoff. Here's how we think about ours.
Next.js over raw React
SSR, ISR, API routes, image optimization, and deployment on Vercel — all solved. We build products, not frameworks.
React Native over Flutter
Shared knowledge with our web React expertise. One mental model across web and mobile. The JavaScript ecosystem is unmatched for integrations.
PostgreSQL over MongoDB (usually)
Relational data needs relational databases. Transactions, constraints, and joins matter when you're handling money, permissions, or government data.
LangChain + LangGraph over raw API calls
Agentic orchestration, tool use, memory management, and retrieval patterns — solved. We build AI products, not AI infrastructure.
AWS over everything else (usually)
Deepest service catalog, most enterprise clients already there, best documentation. We use GCP for specific ML workloads.
Vercel for web, Docker for everything else
Vercel gives us instant deploys with zero config for Next.js. For backend services, Docker + Kubernetes gives us full control.
Building a serious platform?
Let's engineer it properly.
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