Your prototype proved the idea. We make it dependable.
You built something real with AI-assisted and low-code prototyping tools — or inherited something a previous developer left behind. It works in the demo. It is not ready to run your business. That gap is our specialty.
Vibe-coded is not an insult. It is a stage.
The same story is playing out across the market. A founder or an operator validates an idea cheaply with AI-assisted and low-code prototyping tools. The prototype wins its first users, its first revenue, sometimes its first investment. Then the cracks show: no production database behind the demo data, secrets sitting in the code, payments half-wired, integrations held together by manual steps, no tests, no deployment story, and nobody who can say with confidence what the system will do under load.
None of that means the prototype was a mistake. It did its job — it proved the idea at a fraction of what traditional development would have cost. What it needs now is different: senior engineering that turns a proof into a product without burning the leverage you already bought.
The same applies when the prototype came from a departed developer or a stalled agency engagement. If you need someone to take over an app another developer built, the work is the same shape: inventory honestly, stabilize first, then harden.
What “dependable” actually means
Production readiness for an MVP is a checklist, not a feeling. This is what we add:
- A production database and API layer. Real schema, migrations, backups, and an interface your product can grow against.
- Security. Authentication and authorization done properly, secrets out of the code, an honest look at what data you hold and who can touch it.
- Payments done right. Billing that reconciles, handles failure, and will survive an audit.
- Integrations that hold. The connections to your other systems become monitored, retryable, and documented — not a manual step someone remembers to do.
- Automated tests. Enough coverage that change stops being frightening.
- Deployment and monitoring. Repeatable releases, and someone finds out before your customers do.
- Ownership. Your repository, your infrastructure, documented. No hostage situations.
Five steps, in order
Every rescue follows the same sequence. Step one is bounded and fixed-scope, so the commitment curve starts shallow.
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Production Blueprint
We inventory what exists — code, infrastructure, integrations, risks — and hand you a prioritized plan with a defined next step. The Blueprint is its own engagement; the plan is yours whoever builds it.
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Stabilize
Security exposure and data-loss risk get fixed first, before any feature work. If something can lose your customers’ data or leak it, it goes to the top of the list.
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Harden
The production database, API layer, and test coverage go in around the parts of the prototype worth keeping.
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Extend
New features land on a foundation that can carry them — usually faster than they were landing on the prototype, because change is no longer risky.
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Operate
Deployment, monitoring, and production support. We stay accountable after launch; that is the point of the engagement.
We operate AI coding agents ourselves
We are not a shop that sneers at generated code, and we are not a shop that ships it unread. We run AI coding agents in our own production delivery, every day, behind human review gates — so we know precisely what generated code is worth, where it tends to be strong, and where it quietly cuts corners. That is the judgment a rescue needs: keep the leverage, replace the risk.
Joseph writes about running an agent fleet in production on his engineering site. The products we have taken from architecture to years of production operation are on the work page.
Straight answers
Can you keep what the AI built?
Usually, in part. Generated code is real leverage: validated screens, working flows, a product your users have already accepted. We keep what is worth keeping and replace what is not — typically the data layer, security, and integration seams. Throwing everything away is a last resort, not a default.
Should we rewrite or harden?
That is an evidence question, not an ideology question. The Production Blueprint answers it: we inventory what exists, measure the gap to production, and recommend the cheaper responsible path. Sometimes that is hardening what you have; sometimes a targeted rewrite of one layer; rarely a full rebuild.
How long does a rescue take?
It depends on the gap between what you have and what production requires — which is exactly what the Blueprint measures. We commit to dates when we have seen the code, not before. You get an honest estimate with the plan, before you commit to the larger engagement.
What does it cost?
The first step is the Production Blueprint: a fixed-scope assessment that ends with a prioritized plan and a real estimate for the work behind it. You know the cost of the path before you walk it, and the plan is yours either way.
Tell us where the prototype stands.
Joseph reads every note and replies himself. If it is not a fit, he will say so and point you somewhere useful.
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