AI-Accelerated Engineering  ·  Currently Accepting Projects

Zero to Handoff
with AI at the core

You've got an idea and want it in front of real users fast, without the usual rework six months in. I build it once, build it right, and ship with tests, CI/CD, and docs from day one.

6+
Years of experience
6–12 wks
Scope to handoff
Human-first, AI-assisted
Development approach

From zero to
handoff-ready,
the full picture

The full environment: app, infrastructure, pipelines, and documentation.

1 / 4

AI-Assisted Full-Stack Development

I write code with Claude Code running alongside me, not instead of me. It catches bugs I'd otherwise find in review, writes the tests I'd otherwise write by hand, and frees up time for the architecture decisions that actually matter. This all gives you more bang for your buck.

AWS Node.js / Nest.js React / Next.js Claude Code CI/CD

Testing, CI/CD & Delivery

Test suites and a CI/CD pipeline go in from the first commit, not bolted on at the end. A staging environment catches a broken deploy before it reaches your users, and your team can push changes later without holding their breath.

GitHub Actions Jest Docker AWS

Product Strategy & Handoff

Before a feature gets built, I scope what's actually worth building and run the sprint plan past you. By the end, the code is documented well enough that a new engineer can onboard without a long ramp-up.

Technical scoping Sprint planning Architecture Documentation Team handoff/Overlap

Product Development

When AI belongs in the product itself, I build it: retrieval pipelines that search your own data, chatbots and LLM-powered workflows wired into your backend, not bolted onto it.

RAG / embeddings OpenAI / Claude API pgvector

Tech stack + AI tools

I'm flexible on the tech stack. Below is a list (by no means comprehensive) of technologies that I'm familiar with and have used in the past to ship code.

Javascript
Python
Node.js
React
Next.js
NestJS
Flask
Docker
AWS
GCP
PostgreSQL
Claude Code

A technical partner,
not a code vendor

Most vendors hand you an app. You get the environment it runs in, too, so whoever picks it up next doesn't start from zero.

AI tools run through the whole process and speed up delivery, but they're not the reason this works. I won't be typing "plz fix" into the terminal for hours hoping AI will save my bacon.

This matters most for small businesses without an in-house tech team. Messy foundations compound fast, and companies routinely spend more fixing a poorly built codebase than they paid to build it.

See the approach →
01
Scoping call (free)
30 minutes to understand your product, your users, and what "done" looks like. I don't start writing code until I have a clear understanding of what the project looks like.
02
Plan & prepare
Architecture decisions, tech stack selection, repo setup, CI/CD, and a clear sprint plan. All before writing a single feature.
03
Build & test
AI-assisted development with weekly deliverables. Every feature comes with tests. You see real progress, not just status updates.
04
Ship & hand off
Deployed to production, documented architecture, and a full walkthrough, whether you're handing off to a dev shop or onboarding your first engineer.

Ready to build?

Only a small number of projects run at a time, so each one gets real attention. If you're building something interesting, let's talk now.