diff --git a/autogpt_platform/frontend/README.md b/autogpt_platform/frontend/README.md
index 361cd81045..601187c968 100644
--- a/autogpt_platform/frontend/README.md
+++ b/autogpt_platform/frontend/README.md
@@ -63,9 +63,147 @@ Every time a new Front-end dependency is added by you or others, you will need t
 - `pnpm type-check` - Run TypeScript type checking
 - `pnpm test` - Run Playwright tests
 - `pnpm test-ui` - Run Playwright tests with UI
+- `pnpm fetch:openapi` - Fetch OpenAPI spec from backend
+- `pnpm generate:api-client` - Generate API client from OpenAPI spec
+- `pnpm generate:api-all` - Fetch OpenAPI spec and generate API client
 
 This project uses [`next/font`](https://nextjs.org/docs/basic-features/font-optimization) to automatically optimize and load Inter, a custom Google Font.
 
+## 🔄 Data Fetching Strategy
+
+This project uses an auto-generated API client powered by [**Orval**](https://orval.dev/), which creates type-safe API clients from OpenAPI specifications.
+
+### How It Works
+
+1. **Backend Requirements**: Each API endpoint needs a summary and tag in the OpenAPI spec
+2. **Operation ID Generation**: FastAPI generates operation IDs using the pattern `{method}{tag}{summary}`
+3. **Spec Fetching**: The OpenAPI spec is fetched from `http://localhost:8006/openapi.json` and saved to the frontend
+4. **Spec Transformation**: The OpenAPI spec is cleaned up using a custom transformer (see `autogpt_platform/frontend/src/app/api/transformers`)
+5. **Client Generation**: Auto-generated client includes TypeScript types, API endpoints, and Zod schemas, organized by tags
+
+### API Client Commands
+
+```bash
+# Fetch OpenAPI spec from backend and generate client
+pnpm generate:api-all
+
+# Only fetch the OpenAPI spec
+pnpm fetch:openapi
+
+# Only generate the client (after spec is fetched)
+pnpm generate:api-client
+```
+
+### Using the Generated Client
+
+The generated client provides React Query hooks for both queries and mutations:
+
+#### Queries (GET requests)
+
+```typescript
+import { useGetV1GetNotificationPreferences } from "@/app/api/__generated__/endpoints/auth/auth";
+
+const { data, isLoading, isError } = useGetV1GetNotificationPreferences({
+  query: {
+    select: (res) => res.data,
+    // Other React Query options
+  },
+});
+```
+
+#### Mutations (POST, PUT, DELETE requests)
+
+```typescript
+import { useDeleteV2DeleteStoreSubmission } from "@/app/api/__generated__/endpoints/store/store";
+import { getGetV2ListMySubmissionsQueryKey } from "@/app/api/__generated__/endpoints/store/store";
+import { useQueryClient } from "@tanstack/react-query";
+
+const queryClient = useQueryClient();
+
+const { mutateAsync: deleteSubmission } = useDeleteV2DeleteStoreSubmission({
+  mutation: {
+    onSuccess: () => {
+      // Invalidate related queries to refresh data
+      queryClient.invalidateQueries({
+        queryKey: getGetV2ListMySubmissionsQueryKey(),
+      });
+    },
+  },
+});
+
+// Usage
+await deleteSubmission({
+  submissionId: submission_id,
+});
+```
+
+#### Server Actions
+
+For server-side operations, you can also use the generated client functions directly:
+
+```typescript
+import { postV1UpdateNotificationPreferences } from "@/app/api/__generated__/endpoints/auth/auth";
+
+// In a server action
+const preferences = {
+  email: "user@example.com",
+  preferences: {
+    AGENT_RUN: true,
+    ZERO_BALANCE: false,
+    // ... other preferences
+  },
+  daily_limit: 0,
+};
+
+await postV1UpdateNotificationPreferences(preferences);
+```
+
+#### Server-Side Prefetching
+
+For server-side components, you can prefetch data on the server and hydrate it in the client cache. This allows immediate access to cached data when queries are called:
+
+```typescript
+import { getQueryClient } from "@/lib/tanstack-query/getQueryClient";
+import {
+  prefetchGetV2ListStoreAgentsQuery,
+  prefetchGetV2ListStoreCreatorsQuery
+} from "@/app/api/__generated__/endpoints/store/store";
+import { HydrationBoundary, dehydrate } from "@tanstack/react-query";
+
+// In your server component
+const queryClient = getQueryClient();
+
+await Promise.all([
+  prefetchGetV2ListStoreAgentsQuery(queryClient, {
+    featured: true,
+  }),
+  prefetchGetV2ListStoreAgentsQuery(queryClient, {
+    sorted_by: "runs",
+  }),
+  prefetchGetV2ListStoreCreatorsQuery(queryClient, {
+    featured: true,
+    sorted_by: "num_agents",
+  }),
+]);
+
+return (
+  <HydrationBoundary state={dehydrate(queryClient)}>
+    <MainMarkeplacePage />
+  </HydrationBoundary>
+);
+```
+
+This pattern improves performance by serving pre-fetched data from the server while maintaining the benefits of client-side React Query features.
+
+### Configuration
+
+The Orval configuration is located in `autogpt_platform/frontend/orval.config.ts`. It generates two separate clients:
+
+1. **autogpt_api_client**: React Query hooks for client-side data fetching
+2. **autogpt_zod_schema**: Zod schemas for validation
+
+For more details, see the [Orval documentation](https://orval.dev/) or check the configuration file.
+
 ## 🚚 Deploy
 
 TODO