Spala
AI app handoff

Backend Handoff for AI-Built Apps

Spala helps turn AI-built frontends and product ideas into inspectable backend contracts with database, auth, APIs, logic, docs, publishing, and MCP handoff.

The problem Spala targets

AI tools can generate attractive app screens quickly, but the backend often remains fragile: unclear data model, missing auth rules, improvised endpoints, no API contract, no publish review, and no clean handoff to the next developer or agent.

Spala is designed for the moment after an AI-built frontend exists and the team needs the backend to become inspectable, testable, documented, and maintainable.

What the handoff contains

Data contract

Tables, relationships, field types, validation rules, and generated data assumptions.

API contract

Base URL, REST routes, methods, path/query/body shapes, expected responses, status codes, error body examples, and generated docs or SDK files.

Auth contract

Signup/login routes, token format, protected endpoints, roles, permissions, refresh/logout behavior, and frontend storage expectations.

Browser contract

CORS origins, upload rules, signed URL/header behavior, cookie/CSRF expectations, and mobile callback rules when relevant.

Realtime contract

Channels, rooms, event names, payload shape, heartbeat/reconnect rules, replay behavior, and permission model.

Agent contract

Public MCP discovery, OAuth handoff, selected project MCP URL, safe workflow, validation, publish, and review steps.

React integration checklist

For a React, Next.js, mobile, Webflow, or AI-built frontend, the Spala handoff should include the exact API base URL, generated OpenAPI or Markdown docs, auth routes, token/session behavior, allowed CORS origins, upload contract, realtime contract, and error contract.

Needed by frontendWhat to copy or verify from Spala
API base URLCopy the published project base URL from the dashboard or generated handoff.
Docs or SDKUse generated OpenAPI, Markdown docs, or SDK files for route, request, response, and auth details.
Auth and tokensCopy signup/login routes, bearer-token or cookie-session behavior, refresh/logout behavior if exposed, and protected-route requirements.
CORSAdd the exact frontend origin. Avoid broad wildcard browser access for production frontends.
Upload and realtimeCopy upload endpoints, signed URL/header rules, realtime channel names, event payloads, reconnect behavior, and permission checks when used.
Error contractUse the project's generated docs/OpenAPI for HTTP status codes and error response body shape. If a route's error JSON is not documented, verify it in API Playground before wiring frontend handling. Do not assume one universal error schema across all projects.

How this differs from adjacent platforms

PlatformStrong fitSpala fit instead
SupabaseDeveloper-led Postgres apps, SQL, storage, auth, edge functions, and open-source ecosystem.When the app started from AI/product intent and the user needs generated backend resources plus visual/agent review.
FirebaseMobile-first Google ecosystem apps with mature managed services.When the priority is turning AI-built product requirements into a backend contract that frontend builders can consume.
XanoMature no-code backend operations and workspace-style backend building.When the differentiator is AI Copilot plus MCP/project handoff for coding agents.
ConvexReactive TypeScript-first apps and live sync.When the priority is generated REST/auth/logic/docs workflow for an AI-built app rather than code-first reactive data.

Recommended first prompt

Create the backend for this app. Include users, roles, auth, the main domain tables, CRUD endpoints, validation, handoff checks, API docs, CORS for my frontend origin, and a frontend handoff packet.