Vibe Code Finisher
You Built It With AI.
I'll Make It Production-Ready.
You described what you wanted, an AI tool built most of it, and it almost works. What is left is usually the part the tools never mention: authentication that holds up, data that stays correct, credentials that are not sitting in the repository, and a deployment you can trust on a Monday morning. I finish that part. No judgment about how it was built.
$6K
Per 40-hour module, fixed
48 hrs
Written scope back to you
10 hrs
Between working demos
100%
Your code, repos, accounts
The Symptoms
Does Any of This Sound Familiar?
These are the six things I am called about most often. None of them mean you did it wrong. They mean the application reached the edge of what the tools handle on their own.
It Works on Your Machine
It runs when you run it and breaks when anyone else tries. Usually environment configuration, hard-coded paths, or state the application assumes is already in place.
Everyone Can See Everyone's Data
Logging in works, but the application trusts whatever the browser sends it. Authorization was never separated from authentication, so any account can reach any record.
The Keys Are in the Repository
API keys, database passwords, or access tokens committed to source control, sometimes in a repository that is public. Rotating them is the easy half of the fix.
It Slowed Down and Nobody Knows Why
Queries written without indexes, or a page that loads an entire table to display ten rows. Fine at demo scale, not at real scale, and it arrives suddenly.
You're Afraid to Change Anything
No tests, no staging environment, and no way to find out what a change broke until a user finds it for you. So the application stops improving.
It Can't Be Handed to Anyone
No written architecture, no setup instructions worth following, and the only real explanation of how it works is somewhere in a chat history.
The Work
What Finishing Actually Involves.
Not a rewrite. A defined set of gaps, closed in the order that reduces your risk fastest.
01
Authentication & Authorization
Separating who someone is from what they are allowed to do, and enforcing the second one on the server, where it cannot be bypassed.
02
Data Integrity
Constraints, transactions, and validation at the database level, so incorrect data cannot get in even when a client sends it.
03
Secrets & Configuration
Credentials out of source control and into a secret store, with separate configuration per environment and a rotation you can actually perform.
04
Security Hardening
Input validation, injection and cross-site scripting review, rate limiting, dependency audit, and correct handling of HTTPS, sessions, and cookies.
05
Deployment & Recovery
A repeatable deployment, a staging environment, logs you can search, backups, and a restore that has been tested rather than assumed.
06
Documentation & Handover
Written architecture, a runbook, and setup instructions, so the next person to open the project can work on it. That person is often you, months later.
Which of these your application needs, and in what order, is what the assessment establishes. You see the list before you commit to anything.
The Honest Question
Finish It, or Start Over?
It is worth asking before any money is spent, and the answer is not always the one that pays me more.
Starting Over
Discard the parts that work along with the parts that do not, spend the budget a second time, and arrive roughly where you already are, several months later. Occasionally this genuinely is the right call: when the data model cannot support what the product needs to become, rebuilding is cheaper than fighting it.
Finishing What You Have
Keep what works, replace what does not, and harden the rest. Most applications built with AI tools have a sound idea and a serviceable data model underneath, and the gaps sit in a predictable set of places. This is the cheaper and faster answer more often than not.
I will tell you honestly which one you are looking at, including the times when the answer is that you do not need me at all.
What It Costs
The Same 40-Hour Module
$6,000
Assessment First: send me the repository and a description of where it stands. You get back what is missing, what it takes to close, and how many modules, in writing, before you commit to anything.
Fixed Scope, in Writing: one agreed deliverable per module. No hourly meter, and no invoice you did not see coming.
Visible Progress: a working demonstration at every checkpoint. You see it, test it, and approve it before I move on.
Your Code Stays Yours: full source, documentation, and deployment details, in your repositories and your cloud accounts, throughout.
Questions
What People Ask First.
Is Code Written by AI Safe to Put in Production?
It can be. AI writes a great deal of correct code. What it does not reliably decide is what has to be enforced on the server rather than in the browser, what must never leave the database, and what happens when two people act at the same time. Those are engineering decisions, and they are usually where the gap is.
Do I Have to Rebuild From Scratch?
Usually not. Most applications built with AI tools have a workable idea and a reasonable data model underneath, and the gaps fall in a predictable set of places. If starting over genuinely is the cheaper path, I will say so before you spend anything.
What Does It Cost to Finish?
$6,000 per 40-hour module, fixed price. Most applications need one to three. You get the module count in writing after I look at the repository, before you commit to anything.
Will You Tell Me the Code Is Bad?
No. You built something that works well enough to be worth finishing, which is further than most ideas get. What matters is the state of the repository and what it needs, not how it was produced.
Which AI Coding Tools Do You Work With?
All of them. Lovable, Cursor, Replit, Bolt, v0, Claude Code, ChatGPT, or a mix of several. What matters is the state of the code, not which tool produced it.
Who Owns Everything When You're Done?
You do. Source, documentation, repositories, and cloud accounts stay in your name throughout. I work under a non-disclosure agreement from the first conversation.
Send Me the Repository. I'll Tell You What It Needs.
A description of where it stands and access to the code is enough to start. You will get back a written assessment: what is missing, what it takes to close, and a fixed number of modules. No retainers, no decks, no obligation.
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