Vibe-coded app production readiness checklist for a safe launch

An app built with Lovable, Cursor, Claude Code, Replit or Bolt can look finished and still fail on the first real user.
This vibe coded app production readiness checklist has 30 checks in 9 sections, each with a plain-language test, so a tech lead or founder can see what must be fixed before a client or customer logs in.

Download production-ready checklist

What the production-ready checklist for vibe-coded apps helps you do

Confirm account ownership

Check that code, hosting, database, domain, AI provider and billing accounts belong to the company, that at least two people have admin access, and that you have a list of everyone who can reach live customer data.

Close launch blockers first

20 items are marked as launch blockers. Starred items are checked first, and any open launch blocker keeps the verdict from reaching ready.

Test access control and secrets

Find out whether one customer can read another customer's records, whether keys are exposed in the browser, whether admin routes are open, and whether platform settings were left at defaults.

Review data protection

Section 4 covers personal data, consent, vendor agreements, data location and retention, deletion requests and AI data use. Confirm your obligations with legal counsel or a data protection officer.

Read a scored verdict

Status entries feed one of four results: incomplete, stop and reassess, fix first then pilot, or ready for a pilot.

Work from a vibe coding checklist in Excel

Status and priority dropdowns, including a Don't know option, owner and notes columns, and filters by section and priority. Start with the eight starred quick checks, then work through the sections.

Checklist scope: 9 sections to make your vibe-coded app launch-ready

Each section turns one risk area of an AI-built app into checks you can run yourself, with a priority and a status for every item.
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That is 30 checks in total, 20 of them launch blockers. If a section turns up more than you can fix in-house, a software systems audit covers the gap.

Confirm the company controls every account and knows who reaches live data
Company-owned accounts

Code, hosting, database, domain, AI provider and billing belong to the company.

Two admins per account

At least two people hold admin access, so no account depends on one login.

Live data access list

A written list names everyone who can reach live customer data in any of those accounts.

Production access cleanup

Anyone who no longer needs production access is removed after the review.

Check that every route, record and storage bucket enforces who is asking.
Server-side login checks

Every API route, server function and admin function verifies who is calling.

Admin role enforcement

A normal user's session gets a 403 on admin routes and never receives data.

Record and tenant isolation

One user or company cannot read or change another's data, enforced in the database.

Private storage and functions

Storage buckets are private by default and each serverless function checks the caller.

Confirm no key is exposed and platform settings are not left at defaults.
Secrets out of source

No keys, passwords or tokens sit in the code or its git history, and .env files are excluded.

Nothing sensitive in browser

Server-side secrets never appear in built JavaScript or network responses.

Platform settings reviewed

Sign-up, network access and encrypted connections are checked and advisor findings fixed.

Separate environments

Test, staging and production use separate keys, each with only the permissions it needs.

Know what personal data you hold, where it goes and what you owe clients.
Personal data inventory

What personal data is collected, where it is stored and which vendors receive it.

Notice and agreements

Privacy notice, terms, consent and data processing agreements with each vendor are in place.

AI provider data handling

Customer data is not used for model training, and each provider's retention settings are known.

Region, retention, deletion

Data is stored where the client requires, kept only as long as defined, and deletable on request.

est how the app handles hostile input, abuse and AI features.
Input validation & injection

Server-side validation, parameterized queries and escaped user content block common attacks.

Rate limits and spend caps

Sign-in, sign-up, reset and pay-per-call features are limited, with budget alerts set.

AI feature safeguards

Prompt injection is tested, output is untrusted, and usage and cost caps are set.

Leftover debug access

Debug routes, default credentials, test accounts and sample data are removed.

Check what happens when an outside service fails or a request repeats.
Uptime monitoring

An external monitor checks the app and alerts a named person when it is down.

Duplicate-safe requests

Repeated or simultaneous requests cannot create duplicates or double charges.

Automatic error alerts

Errors are tracked and alert a named person without anyone checking manually.

Scheduled job inventory

One list covers every scheduled job, each with an owner and a defined failure behavior.

Verify changes are tested, reviewed and reversible before customers see them.
Critical-flow tests

The three to five flows the client depends on are tested end to end before launch, then automated.

Automated build gate

CI builds and tests every change, and a failing build blocks the release.

Rollback in minutes

A bad release can be reverted in minutes, with versioned database migrations.

Staging that matches

Staging mirrors production, and the database rebuilds cleanly from migrations.

Prove the data can be restored, not just that backups exist.
Scheduled database backups

Production database backups run automatically on a schedule, with no manual steps.

Tested backup restore

A backup has been restored into a separate environment and the data checked.

Recovery targets

Acceptable data loss and downtime are decided, and the setup meets both.

Backup freshness check

The time of the last successful backup is checked rather than assumed.

Confirm customers can get support and the team can run the app after launch.
Customer support route

Clients know how to reach support and what response time to expect.

Production-grade hosting

The plan allows commercial use, with an availability commitment and basic protection.

One-page runbook

Who to call, how to roll back, where logs live and how to inform the client.

Query efficiency

Indexes and pooled connections are in place, with no dozens of repeated queries.

Vibe-coded applications readiness: popular platforms and tech stack

Vibe-coded apps come from different tools with different failure patterns.

Lovable
Bolt
Replit
Base44
Cursor / Windsurf
Claude Code
Supabase & Firebase
Stripe & third-party APIs

Check the app before a user or a client does

Download the checklist and run the eight starred checks first. They cover the gaps that most often expose or lose customer data.

Download free checklist

The app production-readiness framework: six areas

How the checklist for vibe-coded applications is organized. The 9 sections in the file group into 6 areas. Work through them in this order, because later areas depend on earlier ones.

Code, hosting, database, domain, AI provider and billing accounts belong to the company. At least two people have admin access to each. A written list names everyone who can reach live customer data.
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Question it answers:
Does the company control the app, and can someone other than the author run it?
Every API route and function checks the caller on the server, and users reach only their own records. Storage buckets are private by default. Keys and passwords stay out of the repository and the browser, and platform security settings are reviewed.

Question it answers:
Can each user reach only their own data, are keys and credentials kept out of the browser and the repository, and are platform settings reviewed?
A one-page data map shows what personal data is collected, where it is stored and which vendors receive it. A privacy notice, vendor terms and AI provider data settings are in place. Logs stay free of secrets and needless personal data, and export, deletion and retention are defined.

Question it answers:
Is personal data identified, minimized, covered by agreements and removable on request?
User input is validated on the server, queries are parameterized and user content is escaped. Rate limits and budgets cap abuse and cost, and repeated requests cannot double-charge. Failures reach a named person, and AI features get prompt injection checks.

Question it answers:
Does the app handle bad input, abuse, failing jobs and AI features without breaking or leaking data?
The three to five flows customers depend on are tested end to end. Changes go through review and automated checks, and a release can be rolled back in minutes. Production data is backed up and a backup has been restored.

Question it answers:
Can the team change the app safely and get data back if something goes wrong?
Customers know how to get support and what response time to expect. Hosting and database plans allow commercial use, and a one-page runbook names the owners. Database indexes and connection pooling keep the app responsive.

Question it answers:
Is the app ready to be supported and run once customers are using it?

Clients about our cooperation

See what our clients say about the way our team helped them leverage their business potential.

They don’t just write code, they think through projects to make sure they find the best solution. Because of their thorough researching processes, their deliverables consistently exceed expectations.

Michael Rodriguez

CEO, InnovateTech Solutions

We are happy to share our thoughts on how professional, committed, and flexible CIGen is. The team we have worked with is always respectful and organized. Listening is one of their biggest strengths, as every time we present an idea for improvement we receive many suggestions for its realization.

Justas Beržinskas

Co-Founder at Kloogo

Working with the CIGen team is a rewarding and satisfying experience. Professionally, they are smart experts committed to understanding your needs and bringing to life what you are looking for. I think they are warm and welcoming people. I am looking forward to working again with the CIGen team.

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Andreas Mildner

Co-Founder and Manager at GenieME

We have been working with CIGen for a few years. Our close cooperation brings significant value and result. They think from a business perspective, meet time-lines and budget. We have completed several projects and continue working together. Happy to recommend!

Michael Nilsson Pauli

CEO & Co-founder at Kodexe

The team addresses concerns promptly and generally completes tasks on time. Moreover, they pay close attention to the client’s needs. They work hard and take ownership of their tasks, resulting in a truly smooth collaboration.

Nandu Majeti

CTO at Rocktop Technologies

CIGen delivered a high-quality coded mobile app, which satisfied our requirements. They communicated daily and asked only relevant questions to identify the key to the project development. We were impressed with their expertise.

Alexander Schultz

CEO at Third Act

Thanks to CIGen, we reduced our technical debt and received ample support for their strategic technical initiatives. The team has a great project management approach and always aims to improve their partnership with us. Moreover, their members are proactive and highly skilled.

Karl Otto Aam

CTO at Skytech Control

Tool limitations: when expert review is required

When a self-check is not enough. The checklist is a self-assessment. It is not a security certification, a penetration test or legal advice. These five situations call for an independent vibe coding audit.

Several launch blockers stay open in access control or data protection, or several answers are "Don't know"

A checklist shows that a gap exists. It does not show how deep the cause goes or what the repair costs.

The app handles payment, health, financial or other sensitive personal data

These data types carry legal duties that the checklist only flags. Counsel or a data protection officer must confirm them.

Nobody on the team can explain how the generated code works

Checks can pass while the structure stays fragile. An independent vibe coded app audit reviews architecture, code and infrastructure together.

The prototype is about to become a multi-client product

Tenant separation, scaling and cost behavior need design review, not only verification.

Get a clear picture of what
your vibe-coded app actually needs

Self-check major health issues before production

How to use the production-ready checklist for vibe-coded applications

The seven steps move from a quick pre-check to a verdict you can act on. Update the Status column as you go, and the Verdict tab does the counting.

Run 8 starred checks

They cover the gaps that most often expose or lose customer data.

Go through the remaining rows of the Checklist tab.

Read the check, run the "how to verify" step, then set the Status.

Answer "Don't know" when you cannot tell.

It counts as open, because a gap you have not checked is still a gap.

Mark items that do not apply as N/A.

Examples are an app with no AI features or no payments. N/A items are left out of the score.

Assign an owner and add a note

Assign an owner and add a note to every item that is in progress or not yet done.

Open the Verdict tab

It checks the starred items first, then the other launch blockers, and gives one of four results with a next step.

Consult experts if needed

If the verdict says stop, or a check is beyond your team, request a free audit with a trusted vibe-coded apps company.

Download the production readiness checklist foryou

Enter your details to receive the Excel checklist.
It includes 30 checks, a scored verdict and a guide to decide whether to patch, restructure or start over.

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