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Process

How I build

Every project follows the same disciplined path — from a written specification to a system you own and I keep running. Here's how the work actually happens.

01  /  The path

From a written specification to a system you own

01

Discover

I start with the business, not the code — what's run by hand today, what's rented from a platform, and the single outcome that would matter most. The goal of this phase is a problem worth solving, stated plainly.

02

Specify

Before any code, I write the specification: the data model, the interfaces, the integration points, and the acceptance criteria that define done. We agree on it together. A clear spec is what keeps a build on-scope and a handover honest.

03

Architect

I design the system and choose the stack for the actual scope — lightweight where it can be, and properly hardened where money, authentication, and customer data are involved. Decisions that shape the system are written down, not left implicit.

04

Build

Implementation runs against the spec in small, reviewable increments. Anything with real behavior gets a test written first, so the intended behavior is pinned down before the code that satisfies it.

05

Verify

Every change is verified against real command output — type checks, linting, the test suite, a production build, and security scanning — with additional end-to-end, data-isolation, and payment-integrity checks when it touches money, authentication, customer data, or the schema. A fresh, independent review precedes every merge.

06

Ship & maintain

The system goes live, monitored from day one. From there it's yours — with an optional retainer to run it, watch it, and evolve it as the business changes.

02  /  The stack

What I build on

Core

TypeScriptNext.jsReact

Mobile

ExpoReact Native

Data

PostgreSQLSupabaseDrizzle

Payments & email

StripeResend

Reliability

SentryUpstashZod

Ship

VercelCloudflareGitHub

A typed, modern stack chosen for reliability and ownership — no proprietary lock-in, and the same foundations behind the products in my work.

03  /  Assurance

Reliability is enforced, not asserted

Whether a build is finished is not a judgment call. Every change must clear a blocking gate — run locally on real command output, not a status report — before it merges. The standard is fixed; what passes it is measured, not asserted.

ChangeGateReviewMergeDeployMonitor
The gate

Every change

Baseline

typeslinttestsbuildsecrets scandependency scan

Payments · authentication · customer data · schema

When the stakes rise

end-to-end testsdata isolationpayment integrity

Blocked from release until every check passes.

What “production-grade” means here is a written checklist aligned with established security standards — OWASP ASVS and the NIST Secure Software Development Framework — so the bar is explicit and verifiable rather than rhetorical.

Specification-first

Contracts and acceptance criteria are written and agreed before implementation. The decisions that shape the system are recorded, so the reasoning survives the handover.

Tested where it counts

Behavioral changes are written test-first. A gate enforces the definition of done on every change — and escalates to end-to-end, isolation, and payment-integrity checks where money, authentication, or customer data are involved — judged on the real exit code, not a summary.

Reviewed before merge

No change reaches the main line on its author's word alone. A fresh, independent pass reviews it first.

Watched in production

Errors and regressions surface through monitoring from the first deploy, so problems are found before customers report them.

The result is predictable, auditable delivery: what I hand over is traceable and maintainable, not a black box.

See this applied to your business

Tell me what you're running by hand, or the platform you'd rather own. I'll walk you through how I'd build and verify it.

Get in touch