What must be cleaned up when an AI-built prototype needs architecture, tests, deployment, and long-term ownership.
Why this note exists.
Fast AI-assisted prototyping is useful, but production ownership needs clearer modules, data flow, tests, deployment shape, and security assumptions.
Observations
- The prototype often proves intent before it proves architecture.
- Refactor work should protect what works while removing hidden risk.
- Tests and deployment shape make the app ownable by a team.
What we learned
- Start with architecture review and risk map.
- Refactor around boundaries, not cosmetic cleanup.
- Add tests where behavior is most business-critical.
Useful artifact
- Workflow map or decision note.
- Test case, approval log, or delivery handoff.
- Reusable pattern for a future service path.