MVP to Production
You have something that works on your machine, often after vibe coding. We make it reliable enough for real users: auth, data, errors, deploys, and the parts that will break on day two.
What you get
From demo to something you can run
- A honest read
- What can stay, what must be rewritten, what is fine for now.
- Production basics
- Auth, environments, errors, backups. The floor under the feature.
- A path to deploy
- It ships without you pasting files. Rollback exists.
- SaaS or AI
- Same job. A product MVP or an AI tool that was generated and left fragile.
What we do
Six steps from MVP to production
We do not rewrite for sport. We rewrite what will fail when a second user arrives.
- 01
Audit the MVP
You get
A verdict: salvage, partial rewrite, or start over.
What the code actually does, where data lives, what is hardcoded, what breaks if you refresh. You get a keep / fix / replace list before we touch it.
- 02
Auth and data
You get
Users and data that persist. No single shared session.
Real accounts, not a shared password. Data that survives a restart. The minimum model so two users do not overwrite each other.
- 03
Errors and edges
You get
Failures that are handled, not white screens.
Empty states, failed API calls, timeouts, the AI response that is garbage. The happy path already exists. Production is the other paths.
- 04
Environments and deploy
You get
A deploy you can repeat. Secrets not in the code.
A way to ship that is not “it works on my laptop.” Staging if needed, production, a rollback. Secrets out of the repo.
- 05
AI-specific hardening
You get
An AI feature that fails visibly, not confidently wrong.
If the MVP is an AI tool: prompts out of the UI, cost limits, a fallback when the model fails, no silent invention on facts that must be exact.
- 06
Handover
You get
A map of the system and access to all of it.
What we changed, what is still fragile, how to run it. You can take it to support or to your own team. We do not keep the keys as leverage.
Vibe coding got you here. It will not get you live.
A generated MVP is a head start, not a product. The gaps are usually the same: no real auth, data that vanishes, errors that were never tested, a deploy that is a person. We close those.
Sometimes the honest answer is a partial rewrite, not a polish. We say that after the audit of the code, not after a month of patches.
Related: SaaS Development, AI Automation, SaaS Support
Next step
Around production
Questions
Before you productionize an MVP
Can you work with vibe-coded projects?
Yes. That is the usual case. We audit it first and say what can stay.
Will you rewrite everything?
Only if the audit says the base cannot hold users. Otherwise we harden what exists.
Is this for AI tools too?
Yes. Same production gaps, plus cost limits, fallbacks, and prompts that are not scattered in the UI.
Do I need to understand the code?
No. You need to know what the product must do. We handle the gap between the demo and a deploy.
What do you need from me?
The repo or access, what “live” means, and which user action must not fail.
Start
Get the MVP read
Keep, fix, or replace. Before anyone polishes a demo.