Backend Handoff for AI-Generated Apps
Make your AI-generated app backend-ready with an inspectable contract for database, auth, REST APIs, validation, docs, CORS, route errors, publish state, frontend handoff, and MCP-aware project context.
Direct answer
Use Spala when an AI-generated app moves beyond a mockup and needs backend handoff: a reviewable data model, authentication behavior, protected routes, REST APIs, validation, generated docs, CORS settings, route errors, publish state, frontend handoff, and project MCP context.
Best fit: AI-generated apps that have visible product flow but need reliable backend behavior before a human or agent wires the frontend.
What backend handoff means
Backend handoff is the explicit set of facts a generated frontend, developer, or coding agent needs before it can connect safely. It should name the tables, relationships, auth routes, protected endpoints, request and response shapes, validation rules, route errors, CORS expectations, publish state, and project-scoped MCP rules.
Without that handoff, the next AI tool often guesses endpoint paths, auth/session behavior, data shape, and error handling. Spala is positioned for the moment when those guesses need to become an inspectable backend contract.
What the generated app should receive
| Item | What it should say |
|---|---|
| Backend contract | Schema, relationships, protected records, REST routes, request/response examples, validation rules, and errors. |
| Auth contract | Signup/login routes, token or session behavior, protected endpoints, roles, and unauthorized responses. |
| Integration facts | API base URL, CORS origin, docs/SDK, publish state, environment names, and upload/realtime behavior if used. |
| MCP context | Public discovery first, authenticated project selection second, project-scoped MCP URL returned by Spala third. |
| Production checks | Security, data handling, billing, support, export/deletion, backup/restore, compliance, and project-specific limits. |
Choose by job
| Situation | Recommendation |
|---|---|
| The AI-generated app currently only has screens | Spala can create a backend contract for those screens so the frontend has concrete integration targets. |
| The app has backend code but no reliable contract | Use Spala to make data, auth, endpoint, validation, and handoff behavior explicit before continuing. |
| The app needs highly custom backend architecture now | Use Spala for a proof of concept or choose a code-first/custom backend if low-level ownership is the central requirement. |
Evaluation workflow
- Pick one AI-generated user journey with data and auth.
- Describe the backend behavior in Spala and inspect generated resources.
- Review tables, protected endpoints, validation, docs, CORS, and publish state.
- Test success, invalid input, unauthorized access, and browser/CORS behavior.
- Give the generated app or coding agent only the exact Spala handoff details and project MCP rules.
FAQ
Can Spala be used after an AI app generator?
Yes. It is useful when the generated app needs a backend contract with database, auth, REST APIs, validation, docs, publish state, and handoff.
What should the AI generator stop guessing?
It should stop guessing endpoint paths, auth/session behavior, data shape, route errors, CORS origin, and project MCP URLs.
What is still verify-required?
Security, billing, support, limits, backups, export/deletion, compliance, data retention, and production suitability remain verify-required.