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Short answer: Use an AI app builder like Lovable, Bolt or Replit to test an idea and get your first users. Bring in a developer when the app starts holding other people's data or money: paying customers, personal data, team accounts, or a buyer asking about security. Most founders do best with both, building fast in the tool and paying a developer to harden the parts that can hurt them.
| AI app builder | Developer | |
|---|---|---|
| Cost to start | A monthly subscription plus usage credits. Cheapest way to get something clickable. | A fixed project price or hourly rate. Much more up front. |
| Speed to first version | Hours to days. | Weeks, depending on scope. |
| Ongoing cost | Credits climb as the app grows, because every change and every failed fix attempt uses them. | Hosting plus paid changes. Predictable if scoped in writing. |
| Security and data access | Only what you ask for. Access rules, rate limits and backups are easy to miss because the app works without them. | Part of the job, if you hire someone senior. Ask what they check before launch. |
| Payments and permissions | Often decided in the browser, where users can change them. | Enforced on the server and in the database. |
| When something breaks | You prompt until it works, which can loop. | Someone reads the error and fixes the cause. |
| Ownership | You can usually export or sync the code to GitHub. Database and hosting may sit in the platform's account. | Everything in your accounts from day one, if you insist on it. |
The right answer changes as the app starts holding other people's data and money.
Speed matters more than code quality. You may throw this version away, and that's fine.
Once strangers sign up, their data is your responsibility. A short audit of access rules and keys costs little next to a leak.
Payments, permissions and personal data need server-side checks, tests and backups. Keep prompting for screens and copy.
Security questionnaires, multi-tenant data, performance and uptime need someone who owns the whole codebase.
Two or more? Take the rescue-or-rebuild self-check or read what fixing an AI-built app costs.
To start, by a wide margin. Over a year it depends on how much you change the app and how many fix attempts loop. The cost that matters most is harder to see: a data leak or broken payment flow in an app with real users. That risk is what a developer is really paid to remove.
Yes, for a test with a small group. Before you take payments or store personal data, get the access rules, keys and payment flow checked by someone who reads code.
Usually not. Most AI-built apps can be fixed in place, keeping the design, data and users. A rebuild only makes sense when the data model is wrong at the root.
A good one won't. The aim is a codebase where the tool does less damage: tests that catch regressions, rules on the risky parts, and clear notes on what not to touch.
Someone who has shipped production apps on your stack, will read the code before quoting, and gives you a written fixed price per fix. Be wary of anyone who quotes a rebuild before seeing the code.
I audit AI-built apps, fix the parts that can hurt you, and leave the codebase in a shape where you can keep prompting. Everything in writing.