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21 days · from $1,999 · fixed

Ship It Live · production sprint

You vibe-coded a prototype. I'll make it survive real users.

AI got you to something that works on your laptop. That last 20% — auth that holds, a database strangers cannot read, and a deploy that does not need you awake — is what this sprint is for.

4.93★ / 32 reviews 75+ shipped Kickoff in 24h

Quick answer

A vibe-coded prototype — built with Cursor, Claude Code, Lovable, Bolt or Replit — can be taken to production in about 21 days from a fixed $1,999. The work is usually not rewriting it: it is securing the database, fixing auth, adding tests and making it deployable by someone other than the person who prompted it.

The plan

Day one to day 21, written down.

You get this schedule before you commit, not after. If a phase slips, that is mine to absorb — the price and the date were agreed before anything started.

  1. 1

    Days 1–3

    Audit

    I go through what you have built and write down what is genuinely broken, what is risky, and what is fine. You get that document whether or not you continue.

  2. 2

    Days 4–8

    Security first

    Database rules, auth, exposed keys. AI tools reliably get these wrong because a prototype that works and a prototype that is safe look identical from the outside.

  3. 3

    Days 9–15

    Make it hold

    Error handling, edge cases and tests around the paths that matter. The difference between a demo and something you can leave running.

  4. 4

    Days 16–19

    Deployment

    A proper pipeline, environments, monitoring and backups — so a deploy is a command rather than an evening.

  5. 5

    Days 20–21

    Handover

    Walked through what changed and why, with the code left in a state another developer can pick up without archaeology.

What from $1,999 gets you

Everything needed to launch — nothing padding the invoice.

A written audit of what is actually wrong, before any work starts
Database access rules — the most common serious flaw in AI-built apps
Authentication and session handling reviewed and fixed properly
Secrets moved out of the client and into somewhere safe
Tests around the paths that would cost you money if they broke
A real deployment pipeline, so shipping is not a manual ritual
The code left readable, so the next developer is not stuck
30 days of post-launch support, included

Who books this

Built for

Founders whose AI-built prototype suddenly has real users on it

Non-technical builders who got far and then hit a wall they cannot see

Teams who need a security and quality pass before anyone pays for this

The honest part

When 21 days is the wrong answer.

A fixed deadline only works when the scope genuinely fits inside it. These are the cases where I will tell you so rather than take the booking.

Prototypes where the underlying idea has not been tested with users. Hardening something nobody wants is an expensive way to learn that.

Codebases so tangled that rebuilding is genuinely cheaper — I will tell you honestly if that is what I find in the audit.

Products needing formal compliance certification, which is a programme rather than a sprint.

Questions

Before you book

Building software by prompting an AI rather than writing the code yourself — a term coined by Andrej Karpathy in 2025. It genuinely works for getting to a prototype fast. Where it struggles is the unglamorous production layer: access rules, auth, error handling and deployment, because those failures are invisible until someone exploits or hits them.

21 days from now, this could be live.

A 30-minute call decides whether the scope fits. If it doesn't, I'll tell you what would.