Startup
Taking an AI-built prototype to a production app
How consultants could turn a fast AI-assisted prototype into a secure, maintainable app.
Illustrative example. This describes a common mobile challenge and an approach Dragonfly consultants could take. It is not a client engagement and does not report real results.
The challenge
A founder built a working prototype in a few days using AI tools. It had hard-coded keys, no tests and no clear project structure.
The approach
- Review the prototype for secrets, data storage and authentication before anything else.
- Restructure the code into clear layers for UI, state and data access.
- Add automated tests for the core flows and set up CI/CD for both platforms.
- Set review rules for future AI-generated code, including dependency checks.
What success would look like
A production-ready codebase that keeps the speed of the prototype, with the security and structure needed for a store release.
Want to see how this would apply to your product? Tell us about your project.