I’ve been thinking about how tools like Antigravity could fit into healthcare software development, especially for systems where accuracy, privacy, and accountability matter a lot.
For example, take a centralized patient record tracking system. On the surface, it may look like a normal software project with dashboards, user roles, search, forms, notifications, and integrations. But in reality, small mistakes can create serious problems.
If an AI coding agent helps build a patient record module, it might speed up things like:
- Creating basic UI layouts
- Writing API structures
- Generating validation rules
- Suggesting database models
- Building admin dashboards
- Drafting test cases
That can be useful. But I don’t think this kind of tool should be trusted to handle healthcare logic on its own.
A patient record system is not just about writing code. It needs strict role-based access, audit logs, data accuracy, secure sharing, consent handling, backup planning, and clear error handling. A missing permission check or wrong patient mapping could cause real risk.
So my view is that Antigravity can be helpful as a development assistant, but not as the final decision-maker. It can support developers by speeding up repetitive work, generating starter code, and helping review structure. But human developers still need to review the architecture, security, compliance needs, and clinical workflow logic.
In healthcare software, the question is not only “Can the code run?” The bigger question is “Can the system be trusted when real patient data is involved?”
I’d be interested to hear how others are using Antigravity for sensitive applications like healthcare, finance, or legal systems. Are you comfortable letting it write core modules, or do you only use it for support tasks and early drafts?