Quick answer: Vibe coding platforms like Lovable, Replit, Bolt, and Cursor are fine for building a healthcare app — they just aren’t built to hold real patient data. This checklist walks through HIPAA Vault’s own eight-point “AI-to-HIPAA Migration Checklist,” the same one used to take a vibe-coded prototype from sandbox to a genuinely HIPAA-compliant production app.
Key Takeaways
- Prototyping platforms — Lovable, Replit, Bolt, Cursor, and similar — don’t offer BAAs on their standard tiers, and some, like Lovable, explicitly state in their own privacy policy that PHI shouldn’t be hosted there at all.
- Pasting real patient data into ChatGPT, Gemini, or Claude to debug an error is one of the most common — and most avoidable — compliance mistakes. Unless you’re on a plan with a signed BAA and zero data retention, that data can be logged and used to train the next model version.
- BAA coverage isn’t just about your main app builder — it has to extend to every vendor touching PHI: hosting, database, auth provider, email/SMS routing, analytics, and every sub-processor behind them.
- Two checks vibe coders consistently miss: default tracking pixels (Google Analytics, Meta Pixel, TikTok) sitting on authenticated patient pages, and access control that checks login status but never checks whether that specific user is authorized to see that specific record (an IDOR vulnerability).
- Testing with synthetic or dummy data the entire way through — including using AI itself to generate fake patient records — keeps you out of trouble until you’re actually ready for real PHI.
- A human still needs to review the security logic before launch. The AI that wrote the code isn’t the one checking whether it’s actually safe.
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The Checklist
HIPAA Vault’s own “AI-to-HIPAA Migration Checklist” covers eight areas to work through before any real patient data touches an app built in Lovable, Bolt, Replit, Cursor, or a similar AI coding tool. Here’s the shape of it — the full item-by-item checklist (the version you can actually work through and check off) is in the free download below.
- Vendor & BAA Coverage — confirming every vendor touching PHI, down to sub-processors, has a BAA that covers the plan you’re actually on.
- AI Prompt Hygiene — locking down what’s been pasted into ChatGPT, Claude, or Gemini during development, past and present.
- Secrets & Credentials — getting API keys and passwords out of the codebase and into a secrets manager.
- Access Control & Data Isolation — closing the gap between “logged in” and “authorized for this specific record.”
- Third-Party Routing — mapping every place patient data flows to email, SMS, or form providers.
- Tracking & Analytics — finding and removing default tracking pixels from authenticated patient pages.
- Audit Logging — separating debug logs from HIPAA-required audit trails.
- Beyond the Happy Path — human review of the security logic and multi-user testing.
Get the full checklist: Every item above expands into specific, checkable steps in HIPAA Vault’s free “AI-to-HIPAA Migration Checklist.”
What Josh Vidals and Gil Vidals Say
This checklist comes directly from a live session Gil Vidals and Josh Vidals, Cloud Engineer at HIPAA Vault, ran specifically on vibe coding. Josh laid out the BAA trap first:
“These providers are using these prototyping platforms like Lovable, Bolt, and Replit, but their standard tiers don’t offer BAAs. So the provider goes to Lovable, they make a beautiful prototype, everything is working, and they may think, well, this is a prototype — if I take some patient health information in, it’s not a big deal. But it is. As soon as patient information is on this platform, you don’t have a BAA. It’s a breach of HIPAA. And as part of the source material here, we actually reviewed the Lovable privacy agreement, and they explicitly say: do not host any PHI here. We take no responsibility for it.”
On the temptation to paste real data into an AI chat tool while debugging, Gil Vidals put it directly:
“As soon as you’ve taken that PHI and you’ve brought it over to Claude, they have that information logged now and they will train their next generation model on that… unless you have a very expensive plan with Claude or OpenAI where they have signed a BAA and they have zero retention policies, you need to be really careful on what you’re putting into that prompt box.”
On taking ownership of the code and why that alone doesn’t solve compliance, Josh Vidals put it this way:
“The first thing you want to do is take your code and take ownership of it, move it to something like GitHub or a git repo where you have complete control… Now, something that I’ve seen in the past is when users move the data from a prototyping platform to GitHub, if they have PHI, that PHI moves into GitHub as well. And just like Lovable or Replit, you don’t have a BAA with GitHub, and you shouldn’t store protected health information there.”
And on what actually closes the loop — a host that will sign a BAA:
“That is to make sure that you move to a host that will sign a BAA with you. There are various hosts that will sign a BAA… and once you move on to that private infrastructure with encryption in transit, audit logging, access controls, you’re very close to having a HIPAA-compliant application.”
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This came up directly in the same session, and Gil Vidals’ answer is the cleanest summary of the whole checklist:
“If the platform won’t sign a BAA with you, then it’s not safe for healthcare. Lovable and these other platforms are great for prototyping. It’s not that you can’t prototype a healthcare application there — you just shouldn’t host any protected health information there. So once you’ve left the prototyping phase, it’s time to find a HIPAA-compliant host.”
The One Step Most Founders Skip
Every step above matters, but the sandbox stage is where most compliance problems actually originate — real patient data ends up in a prototyping platform, or in an AI chat tool’s prompt box, before anyone has thought about hosting. By the time a founder is ready to move to production, that data may already be sitting somewhere with no BAA and no encryption. Keep real PHI out of the sandbox from day one, and the rest of this checklist gets dramatically simpler.
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Questions to Ask Before You Start Checking Boxes
- Has any real patient data ever touched our prototyping platform, our AI chat tool’s prompt box, or our GitHub repo, even during early testing?
- Do we actually know what third-party services — email, SMS, or otherwise — our AI-generated code is quietly using, and whether any of them have a BAA?
- Have we specifically checked that user-facing inputs are sanitized, and that authentication and authorization are handled as two separate checks?
- Has our prospective host confirmed, in writing, that they’ll sign a BAA before we send them anything?
- Who owns ongoing patching and monitoring once the app is live?
FAQ
For informational purposes only, not legal advice — consult qualified counsel for your specific HIPAA obligations. Reflects the perspectives of Gil Vidals, CTO and Co-Founder, and Josh Vidals, Cloud Engineer, at HIPAA Vault.

