Every project I ship follows the same six-stage process — from a rough interactive prototype to a monitored production deployment through CI/CD. Here's how it works in practice, with real examples from the work I've shipped.
Small MVPs can move through these stages in days; larger platforms evolve through the same process over months. The stages don't change — only the depth of each stage changes.
Before writing a line of code, I map the problem, the users, and the one metric that defines success. I cut scope aggressively here — the goal is the smallest thing that proves the idea, not the list of features.
A working clickable prototype in days, not weeks. Real layout, fake data, the happy path working end-to-end. AI-assisted scaffolding lets me get something tangible in front of you fast — so we course-correct based on the product itself, not a spec.
Choose proven, reliable tools — then one specialised tool the problem actually requires. The data model and API contracts get defined here, because they're the most expensive thing to change later.
Ship one complete slice at a time — backend, frontend, and integration for a single feature — rather than building everything halfway. AI-assisted pair programming is a daily tool here; review and tests keep quality in check.
Tests, security, and performance happen before launch, not after the first incident. Automated tests cover the paths that matter; I review for the OWASP basics and profile slow paths.
Push to main and watch it deploy live. CI runs the tests, deploys to staging, then production — with a rollback path and monitoring in place. Then the real work starts: measure, learn, improve.
Every push to main runs the same automated path. If a step fails, it stops — and production stays on the last good build.
If any check fails, the pipeline stops — production stays on the last good build, and a rollback is one command away. Small, frequent releases make this safe.
The tools change with every project. These don't change.
A thin feature working end-to-end beats a wide one half-built. Something you can demo every few days.
Critical paths get automated tests. Inputs are validated. Secrets stay out of the repo. Not optional.
Proven stacks for 90% of the system, and exactly one specialised tool where it adds real value.
AI-assisted development since 2024 — for scaffolding, review, and copy — always behind human judgement and tests.
A real CI/CD pipeline from week one. Small, frequent releases are safer than rare, large ones.
From architecture to the production server. One person accountable for the whole path, not a chain of handoffs.
Whether it's a prototype that needs hardening or a greenfield build from scratch — I can own the full journey, from architecture to production deployment.