We pick tools for the problem, not the résumé.
A look under the hood: how we design systems, what we run in production, and the practices that keep your software fast, secure and easy to change.
Decisions we make on every build
Not dogma — defaults. We deviate when the problem demands it, and we tell you why.
Model the data first
Schemas and boundaries before UI. Get the data right and everything above it gets simpler.
Boring where it counts
Proven, well-understood tools for the core. Novelty only where it earns its keep.
Automate the path to prod
Every merge is tested, previewed and shipped the same way. No heroics on release day.
Observable by default
Logs, metrics and traces from commit one, so you find problems before customers do.
What runs where, and why
Typed, component-driven UIs with server rendering where SEO and speed matter. Design tokens keep it consistent and themeable.
Service boundaries drawn around the domain, not the framework. Typed APIs, background jobs and clean migrations.
Relational by default, with caches and streams where scale demands. Backups and point-in-time recovery you can actually restore from.
Immutable infrastructure as code, containerised and reproducible. Blue-green releases and autoscaling that you can reason about.
Retrieval grounded in your data, with evaluation and guardrails. We measure quality before we ship, and keep a human in the loop.
Secure by construction
Security isn't a phase at the end — it's baked into how we build.
Every merge, the same safe path
No release-day heroics. Automated checks gate every change, previews let you click before you ship, and rollbacks are one command.
- ${icon gitbranch}Preview per PRClick the change before it merges.
- ${icon infinity}Automated pipelineLint, test, build, deploy — on every merge.
- ${icon shield}Safe rollbacksBlue-green releases you can undo instantly.
You can't fix what you can't see
Logs, metrics and traces from the first deploy, wired to alerts that page a human only when it matters. Staging that actually predicts production.
- ${icon activity}Metrics & tracesLatency, errors and saturation, per service.
- ${icon eye}Structured logsSearchable, correlated to requests.
- ${icon zap}Actionable alertsSignal, not noise — tied to SLOs.
The kind of thing we ship
// Idempotent webhook handler export async function handle(evt) { if (await seen(evt.id)) return ok(); await db.tx(async (t) => { await record(t, evt); await project(t, evt); }); return ok(); }
# Infra as code — reproducible env resource "service" "api" { image = "api:${var.sha}" replicas = 3 health = "/healthz" autoscale { min = 3; max = 20 } }