Full-stack product engineering. I own the entire arc — from validating whether something should exist, to shipping a working product with auth, billing, and multi-tenancy baked in.
Every product ships with these baked in. Not bolted on later. Not in the next sprint. In the first commit.
These are load-bearing walls, not furniture. Signup, login, Stripe integration, and tenant isolation are foundational — not features.
Migration files before application code. The schema is the product; the UI is a view of it. Get the data right and everything else follows.
Boring, well-understood infrastructure. Managed services over self-hosted. Convention over configuration. If you can't run it, I won't build it.
SaaS means shared infrastructure serving isolated customers. Data isolation and tenant-scoped access are architecture decisions, not feature tickets.
No plaintext passwords. No hardcoded secrets. No disabled CORS for convenience. Not even in prototypes. Especially in prototypes.
A product isn't shipped until it has signup, login, billing, a settings page, and error handling that doesn't show stack traces to customers.
I default to proven tools unless there's a concrete reason not to. The stack serves the product, never the other way around.
The database. Row-level security, JSONB when needed, rock-solid at any scale.
Server-rendered, edge-ready. Pick based on the product's routing needs.
Billing is a solved problem. Subscriptions, metered usage, invoicing — out of the box.
End-to-end type safety. Shared types from database to API to frontend.
Auto-TLS, zero-config HTTPS. One binary, no certificate management.
Identical environments from laptop to production. No "works on my machine."
Not a 12-week engagement. A focused sprint from idea validation to deployed product.
Who's the user? What's the pain? Is this a vitamin or a painkiller? I don't write code until these have clear answers. If the answer is "build me a SaaS" with no further context, I ask questions first.
Day 1Schema first. Migration files before application code. Multi-tenancy, access patterns, and relationships defined at the database level. The data model IS the product.
Day 1–2Auth, the primary user action, and billing. Not a landing page with a waitlist — the actual product. Users can sign up, do the thing, and pay for it.
Day 2–5Deploy, configure DNS, set up monitoring, handle edge cases in error states. A real product at a real URL taking real users and real money.
Day 5–7