A pragmatic, modern toolchain
We pick tools that survive production — not the loudest tweet. This is the stack we reach for, layer by layer, plus the principles that decide when to deviate.
Tools we trust
A pragmatic, modern toolchain — the right stack for each problem.
How the stack fits together
A reference architecture for the systems we build — from the edge down to infrastructure, with observability cutting across every layer.
Client
Edge / Browser / Mobile
API & Orchestration
Gateway / Workers / Queues
Intelligence
Models / Agents / Retrieval
Data
OLTP / OLAP / Cache / Stream
Infrastructure
Compute / Network / IaC
Observability & Security
Traces / Metrics / Logs / Policy
The full picture
Default tooling across the lifecycle of an intelligent system.
Languages
AI & ML
Data
Cloud & Infra
App Frameworks
Observability
Why this stack, and not another
Pick boring infrastructure
Postgres before exotic data stores. Kubernetes only when it earns its keep. Boring tech frees attention for the parts that aren't boring.
Tighten the dev loop first
Fast feedback beats fancy tooling. Hot reload, type safety, deterministic local environments — non-negotiable.
Observability is part of the feature
If you can't see it, you can't operate it. Tracing, metrics and structured logs ship with the code, not after.
Buy where it's commodity
Auth, payments, email, transactional databases — we use the best-in-class hosted option unless there's a real reason not to.