What readiness score should I aim for?

There is no universal pass/fail number. Fix critical security and deployment issues first. Use the Launch Readiness Score to prioritize — not to procrastinate forever.

Can I launch without a custom domain?

Yes. Hosts give you a free subdomain (like yourapp.vercel.app). That is a valid first launch. Add a custom domain later when branding matters.

How is this different from an AI app launch checklist?

This guide focuses on validating readiness before real users see your app. A launch checklist is the step-by-step path from folder to live URL. Use both — check blockers first, then follow the deploy steps.

What if my scan shows many warnings?

Sort by severity. Critical items (secrets, debug mode, missing env vars, localhost APIs) block a safe launch. Low-severity items can wait. Fix top-down, then re-check.

Guides

Is My AI-Built App Ready to Launch? Complete Pre-Launch Guide

You built something with Cursor, Bolt, Lovable, or another AI coding tool — and now you want to know if it is safe enough to share. This guide is a practical pre-launch checklist for AI-built apps: what “ready to launch” really means, what to check in your repo and config, what you still need to test by hand, and when a MakerToLaunch scan helps you validate readiness before real users see your app.

Updated August 2026 · 8 min read

Written for AI makers using tools like Cursor, Bolt, Lovable, Replit, Claude, and ChatGPT.

Quick answer

Your AI-built app is ready enough to launch when critical launch blockers are fixed: no leaked secrets, debug mode off for production, environment variables set on your host, database migrated if you use one, frontend and backend pointed at production URLs, and your main user flows work on a live URL. MakerToLaunch helps you review common risky patterns in your GitHub repo — you should still manually test real user flows before you share widely.

Who this is for

You vibe-coded or AI-built an app and want a pre-launch check before sharing it
You want a structured checklist instead of guessing what might break for real users
You are about to send a URL to beta users, friends, investors, or customers

What you'll need

Your project on GitHub (or ready to upload safely)
Access to your hosting dashboard if you already deployed
Fifteen to thirty minutes to walk the checklist honestly — plus time for manual QA

What “ready to launch” really means

Ready to launch does not mean every feature is polished or that nothing can go wrong. It means the app is safe and configured enough to run publicly without obvious disasters: secrets protected, production settings sane, deploy that actually starts, and core flows that work for a real visitor.

A weekend side project and a healthcare app have different bars, but every public app shares the same floor: no exposed API keys, no debug stack traces for strangers, and a deploy that starts without crashing.

Many makers launch after fixing critical blockers even if minor warnings remain. Treat the first live URL as a careful first share — real enough to learn, small enough to recover quickly.

What a pre-launch check should include

A useful pre-launch check covers both repo/config patterns and human QA. Automated tools can review common risky patterns; humans still need to click through real flows.

Security: secrets, debug mode, files that should not be on GitHub
Environment variables: .env.example, host dashboard values, no leftover localhost URLs
Frontend/backend connection: API base URLs, CORS, auth cookies across domains
Deployment: build/start commands, output folders, hosting config gaps
Database: production instance, migrations, no laptop-only SQLite in prod
Docs/setup: README, how to run locally, required env names documented
Manual QA: signup, login, core features, mobile, and error states on a live URL

Security checks

Security is the highest-priority category. A launch with exposed secrets can cost money and reputation within hours. Work through these before sharing any public URL.

No .env files or API keys committed to GitHub — run a safe-upload check
Debug mode disabled in production (DEBUG=False for Django, NODE_ENV=production for Node)
No hardcoded passwords, tokens, or connection strings in source code
Admin panels and debug endpoints not publicly accessible without login
HTTPS enabled (most hosts provide this automatically on their default domain)

Environment variable checks

Environment variables bridge code on GitHub and a running server. If this category fails, your app often works locally and fails everywhere else.

.env.example exists with every required variable name (no real secrets inside)
All variables from .env.example are set on your hosting dashboard
Names match exactly — spelling and capitalization included
Production values use production keys (not test keys unless intentional)
No localhost URLs left in production environment variables
Frontend public variables (NEXT_PUBLIC_, VITE_) contain only public-safe values

Frontend/backend connection checks

AI-built apps often ship as a separate frontend and backend. A common launch blocker is the frontend still calling http://localhost:8000 after deploy.

Frontend API base URL points to your production backend (or same-origin proxy)
CORS settings allow your production frontend origin
Auth cookies or tokens work across the domains you actually use
Both frontend and backend are deployed (or you intentionally use a single host)
Environment examples document which vars connect the two apps

Deployment checks

Your host needs to know how to install dependencies, build your app, and start it. AI-generated projects sometimes ship without clear commands documented anywhere.

Build command defined and tested (npm run build, etc.)
Start command or serverless output folder defined correctly
Correct runtime version specified (Node 20, Python 3.11, etc.)
Dependencies listed in package.json, requirements.txt, or equivalent
Hosting config files present when required (vercel.json, Dockerfile, Procfile, etc.)
Recent deploy succeeded without critical errors in host logs

Database readiness checks

If your app stores data, production needs its own instance — not the SQLite file on your laptop. Migration and connection issues are among the most common first-deploy failures.

Production database created on your host (PostgreSQL, MySQL, etc.)
DATABASE_URL or equivalent set in hosting environment variables
Migrations run against production
Seed data reviewed — no test users with weak passwords in production
Backups considered if you will store real user data

Watch out

User-facing QA checks you still need to do manually

MakerToLaunch checks repo and config patterns for common launch blockers. It does not run end-to-end browser tests of every user flow, and it cannot guarantee that every feature works. Before you share widely, walk these paths yourself on a live URL.

Open the live URL in an incognito window (not just localhost)
Sign up, log in, log out, and reset password if those flows exist
Complete the main job your app claims to do
Try a broken action (bad form submit) and confirm errors look sane — not stack traces
Check on a phone-sized screen
Ask one friend who did not build the app to try the same path

When to use MakerToLaunch

Use MakerToLaunch when you want a second opinion on common launch blockers in your GitHub repo: missing .env.example, risky secret patterns, debug settings, localhost API URLs, deploy config gaps, and missing setup docs. You get a Launch Readiness Score, plain-language issues, and copy-ready prompts for your AI coding tool.

Treat the scan as help validating readiness — not a guarantee that your app is production-ready. Fix critical and high-severity items, then do the manual QA above before real users rely on you.

Common mistakes

Assuming “it runs locally” means it is launch-ready
What happens: Real users hit missing env vars, localhost API errors, or debug pages.
How to fix it: Run a pre-launch check on the repo, set production env vars, and test the live URL by hand.
Launching with DEBUG=True or verbose error pages
How to fix it: Turn debug off for production and show friendly errors instead of stack traces.
Skipping production database setup
How to fix it: Create a hosted database, set DATABASE_URL, run migrations, and verify data persists on the live URL.
Trusting an automated scan instead of clicking through the app
How to fix it: Use the scan for common blockers, then manually test signup, core flows, and mobile.
Waiting for perfection
How to fix it: Fix security and deploy blockers, launch to a small audience, iterate. Perfect features matter less than a safe baseline.

Copy-ready prompt

Copy-ready prompt for Cursor

Paste this into Cursor, Claude, ChatGPT, Bolt, Lovable, or your AI coding tool.

Ready to paste

You are helping me prepare my AI-built app for launch. Review this repository for common launch blockers only — do not claim every feature works.

Check and report on:
1) Secrets and files that should not be committed (.env, keys, credentials)
2) Debug / development settings that should be off in production
3) Missing .env.example or undocumented required environment variables
4) Localhost API URLs or frontend/backend connection issues for production
5) Build/start/deploy config gaps (package scripts, hosting configs, monorepo paths)
6) Database setup risks if a database is used
7) Missing README / setup docs

For each issue: explain in plain language, why it matters before real users see the app, exact files involved, and a safe fix plan. Prefer minimal changes. Do not invent problems you cannot support from the repo.