Tooling and stack
AI — Agentic AI, Agent SDKs, MCP, Evals
Agentic AI is at the center with frontier models, tools over MCP, and an eval suite for each feature. Nothing AI-shaped ships without one.
Language — TypeScript, Node, Bun
Strict everywhere. Bun where it's allowed; Node where it isn't.
Interface — React, Next.js, Astro, Tailwind
Server-rendered by default. Client JS is a decision each time, not a starting point.
Data — PostgreSQL, pgvector, Drizzle, tRPC
One schema, inferred all the way up. If the shape changes, the build lets you know before the user does.
Ship — Vite, Playwright, GitHub Actions, Vercel
Every commit builds, type-checks and runs the tests. Main is always deployable.
Cloud — AWS, Docker, Terraform, Cloudflare
Containers and infrastructure as code — reproducible environments, nothing clicked together by hand in a console.
Observability — Grafana, OpenTelemetry, Prometheus, Sentry
Dashboards, traces, metrics, and errors linked from the first deploy. If it's in production, we see what it's doing.