bkend-cookbook

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bkend.ai practical project tutorials and troubleshooting guide. Covers 4 full-guide projects (blog, recipe-app, shopping-mall, social-network) with step-by-step implementation patterns including schema design, architecture patterns, and AI prompt collections.

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bkend.ai practical project tutorials and troubleshooting guide

1. Projects Overview

ProjectLevelTablesFrontendDescription
BlogBeginner3Next.jsPersonal blog with posts, comments, and user profiles
Recipe AppIntermediate5Next.js + FlutterCross-platform recipe sharing with categories and favorites
Shopping MallIntermediate4Next.jsE-commerce with products, orders, and state machine workflow
Social NetworkBeginner5FlutterSocial feed with posts, comments, likes, and follow system

Choosing a Project

  • First time with bkend? Start with Blog -- minimal tables, straightforward CRUD.
  • Want cross-platform? Pick Recipe App -- covers both web and mobile patterns.
  • Need transactional logic? Go with Shopping Mall -- order state machine and payment flow.
  • Building a mobile-first app? Try Social Network -- Flutter-native with feed algorithms.

2. Blog Project

Level: Beginner | Tables: 3 | Frontend: Next.js | Time: ~2 hours

2.1 Schema Design (3 Tables)

users
ColumnTypeRequiredDescription
namestringYesDisplay name
emailstringYesUnique email address
avatarstringNoProfile image URL
posts
ColumnTypeRequiredDescription
titlestringYesPost title
contentstringYesPost body (Markdown supported)
authorIdstringYesReference to users table
statusstringYesdraft or published
tagsarrayNoList of tag strings
comments
ColumnTypeRequiredDescription
contentstringYesComment body
postIdstringYesReference to posts table
authorIdstringYesReference to users table

2.2 Quick Start (5 Minutes)

Step 1: Create the Project

Use the bkend Console or MCP tool to create a new project named my-blog.

> Create a new project called "my-blog"
Step 2: Create Tables

Create the three tables with the schemas defined above.

> Create a "users" table with columns: name (string, required), email (string, required), avatar (string)
> Create a "posts" table with columns: title (string, required), content (string, required), authorId (string, required), status (string, required), tags (array)
> Create a "comments" table with columns: content (string, required), postId (string, required), authorId (string, required)
Step 3: Test the API
# Create a user
curl -X POST https://api-client.bkend.ai/v1/data/users \
  -H "Content-Type: application/json" \
  -H "X-Project-Id: <your-project-id>" \
  -H "X-Environment: dev" \
  -H "X-API-Key: <your-api-key>" \
  -d '{"name": "Alice", "email": "alice@example.com"}'

# Create a post
curl -X POST https://api-client.bkend.ai/v1/data/posts \
  -H "Content-Type: application/json" \
  -H "X-Project-Id: <your-project-id>" \
  -H "X-Environment: dev" \
  -H "X-API-Key: <your-api-key>" \
  -d '{"title": "Hello World", "content": "My first post!", "authorId": "<user-id>", "status": "published", "tags": ["intro"]}'

# List all published posts
curl "https://api-client.bkend.ai/v1/data/posts?filter=%7B%22status%22%3A%22published%22%7D" \
  -H "X-Project-Id: <your-project-id>" \
  -H "X-Environment: dev" \
  -H "X-API-Key: <your-api-key>"

2.3 AI Prompt Collection

Use these prompts with Gemini CLI or Claude Code to accelerate development:

Schema & Data:

> Create a blog schema with users, posts, and comments tables
> Add 5 sample blog posts with different tags and statuses
> Query all published posts sorted by newest first
> Find posts tagged with "tutorial" by author Alice

Frontend:

> Generate a Next.js blog layout with header, sidebar, and post list
> Create a Markdown editor component for writing blog posts
> Build a comment section with nested replies
> Add tag filtering to the blog post list page

API Integration:

> Create a bkendFetch wrapper for the blog API
> Build TanStack Query hooks for posts CRUD operations
> Add optimistic update for the comment submission form
> Implement infinite scroll pagination for the post feed

3. Recipe App Project

Level: Intermediate | Tables: 5 | Frontend: Next.js + Flutter | Time: ~4 hours

3.1 Schema Design (5 Tables)

users
ColumnTypeRequiredDescription
namestringYesDisplay name
emailstringYesUnique email address
avatarstringNoProfile image URL
biostringNoShort biography
recipes
ColumnTypeRequiredDescription
titlestringYesRecipe name
descriptionstringYesShort summary
instructionsstringYesStep-by-step cooking instructions
authorIdstringYesReference to users table
categoryIdstringYesReference to categories table
cookTimeintNoCooking time in minutes
servingsintNoNumber of servings
imageUrlstringNoMain recipe image
ingredients
ColumnTypeRequiredDescription
recipeIdstringYesReference to recipes table
namestringYesIngredient name
quantitystringYesAmount (e.g., "2 cups")
unitstringNoMeasurement unit
orderintYesDisplay order
categories
ColumnTypeRequiredDescription
namestringYesCategory name (e.g., "Italian", "Dessert")
slugstringYesURL-friendly identifier
iconstringNoEmoji or icon identifier
favorites
ColumnTypeRequiredDescription
userIdstringYesReference to users table
recipeIdstringYesReference to recipes table

3.2 Architecture

Web (Next.js):

Stack: Next.js App Router + TanStack Query + Zustand
  • Next.js App Router -- file-based routing with server components
  • TanStack Query -- server state management, caching, and background refetching
  • Zustand -- lightweight client state (UI state, filters, modals)

Mobile (Flutter):

Stack: Flutter + Dio + Riverpod
  • Flutter -- cross-platform UI framework
  • Dio -- HTTP client with interceptor support
  • Riverpod -- state management with dependency injection

3.3 AI Prompt Collection

> Create the recipe app schema with users, recipes, ingredients, categories, and favorites
> Build a recipe card grid component with image, title, and cook time
> Implement category-based filtering with a sidebar navigation
> Create a favorites toggle button with optimistic update
> Generate a Flutter recipe detail screen with ingredient checklist

4. Shopping Mall Project

Level: Intermediate | Tables: 4 | Frontend: Next.js | Time: ~5 hours

4.1 Schema Design (4 Tables)

users
ColumnTypeRequiredDescription
namestringYesDisplay name
emailstringYesUnique email address
addressobjectNoShipping address object
phonestringNoContact phone number
products
ColumnTypeRequiredDescription
namestringYesProduct name
descriptionstringYesProduct description
priceintYesPrice in cents (to avoid floating point issues)
stockintYesAvailable inventory count
categorystringYesProduct category
imageUrlsarrayNoList of product image URLs
isActiveboolYesWhether the product is listed
orders
ColumnTypeRequiredDescription
userIdstringYesReference to users table
statusstringYesOrder status (see state machine below)
totalAmountintYesTotal price in cents
shippingAddressobjectYesSnapshot of delivery address
paymentMethodstringNoPayment method identifier
paidAtdateNoTimestamp of payment confirmation
shippedAtdateNoTimestamp of shipment
deliveredAtdateNoTimestamp of delivery
order_items
ColumnTypeRequiredDescription
orderIdstringYesReference to orders table
productIdstringYesReference to products table
quantityintYesNumber of items
unitPriceintYesPrice per item at time of order (snapshot)
subtotalintYesquantity * unitPrice

4.2 Order State Machine

                          +--> cancelled
                          |
draft --> pending --> paid --> shipped --> delivered --> completed
                     |                       |
                     +--> cancelled           +--> cancelled

State Transitions:

FromToTriggerSide Effect
draftpendingUser submits orderValidate stock availability
pendingpaidPayment confirmedDeduct stock, record paidAt
pendingcancelledPayment timeout / user cancelsRelease reserved stock
paidshippedAdmin ships orderRecord shippedAt, generate tracking
paidcancelledAdmin cancelsRefund payment, restore stock
shippeddeliveredDelivery confirmedRecord deliveredAt
deliveredcompletedAuto after 7 days or user confirmsFinalize order
deliveredcancelledReturn / refund requestProcess refund, restore stock

Implementation Pattern:

// application/services/order-state-machine.ts

type OrderStatus =
  | "draft"
  | "pending"
  | "paid"
  | "shipped"
  | "delivered"
  | "completed"
  | "cancelled";

const VALID_TRANSITIONS: Record<OrderStatus, OrderStatus[]> = {
  draft: ["pending"],
  pending: ["paid", "cancelled"],
  paid: ["shipped", "cancelled"],
  shipped: ["delivered"],
  delivered: ["completed", "cancelled"],
  completed: [],
  cancelled: [],
};

export function canTransition(
  currentStatus: OrderStatus,
  nextStatus: OrderStatus
): boolean {
  return VALID_TRANSITIONS[currentStatus]?.includes(nextStatus) ?? false;
}

export async function transitionOrder(
  orderId: string,
  nextStatus: OrderStatus
): Promise<void> {
  const order = await bkendFetch(`/v1/data/orders/${orderId}`);
  const current = order.data.status as OrderStatus;

  if (!canTransition(current, nextStatus)) {
    throw new Error(
      `Invalid transition: ${current} -> ${nextStatus}`
    );
  }

  const updates: Record<string, any> = { status: nextStatus };

  if (nextStatus === "paid") updates.paidAt = new Date().toISOString();
  if (nextStatus === "shipped") updates.shippedAt = new Date().toISOString();
  if (nextStatus === "delivered") updates.deliveredAt = new Date().toISOString();

  await bkendFetch(`/v1/data/orders/${orderId}`, {
    method: "PUT",
    body: JSON.stringify(updates),
  });
}

4.3 AI Prompt Collection

> Create the shopping mall schema with users, products, orders, and order_items tables
> Build a product catalog page with grid view, filters, and sorting
> Implement a shopping cart with Zustand state management
> Create an order checkout flow with address form and payment step
> Build an admin dashboard for order management with status transitions
> Add stock validation before order submission

5. Social Network Project

Level: Beginner | Tables: 5 | Frontend: Flutter | Time: ~3 hours

5.1 Schema Design (5 Tables)

users
ColumnTypeRequiredDescription
namestringYesDisplay name
emailstringYesUnique email address
avatarstringNoProfile image URL
biostringNoShort biography
followersCountintNoCounter cache for followers
followingCountintNoCounter cache for following
posts
ColumnTypeRequiredDescription
contentstringYesPost text content
authorIdstringYesReference to users table
imageUrlsarrayNoAttached image URLs
likesCountintNoCounter cache for likes
commentsCountintNoCounter cache for comments
comments
ColumnTypeRequiredDescription
contentstringYesComment body
postIdstringYesReference to posts table
authorIdstringYesReference to users table
likes
ColumnTypeRequiredDescription
postIdstringYesReference to posts table
userIdstringYesReference to users table
follows
ColumnTypeRequiredDescription
followerIdstringYesUser who follows
followingIdstringYesUser being followed

5.2 Feed Algorithm Pattern

The social feed displays posts from users that the current user follows, sorted by newest first.

Step 1: Get the list of users the current user follows

GET /v1/data/follows?filter={"followerId":"<current-user-id>"}&limit=100

Step 2: Extract the followingIds

const followingIds = followsData.data.map(
  (f: { followingId: string }) => f.followingId
);

Step 3: Query posts from followed users

GET /v1/data/posts?filter={"authorId":{"$in":[...followingIds]}}&sort={"createdAt":-1}&limit=20

Complete Feed Implementation (Flutter + Riverpod):

// lib/features/feed/providers/feed_provider.dart

final feedProvider = FutureProvider.autoDispose<List<Post>>((ref) async {
  final currentUserId = ref.read(authProvider).userId;
  final client = ref.read(bkendClientProvider);

  // Step 1: Get following list
  final followsRes = await client.get('/v1/data/follows', queryParameters: {
    'filter': '{"followerId":"$currentUserId"}',
    'limit': '100',
  });

  final followingIds = (followsRes.data['data'] as List)
      .map((f) => f['followingId'] as String)
      .toList();

  if (followingIds.isEmpty) return [];

  // Step 2: Get posts from followed users
  final idsJson = followingIds.map((id) => '"$id"').join(',');
  final postsRes = await client.get('/v1/data/posts', queryParameters: {
    'filter': '{"authorId":{"\$in":[$idsJson]}}',
    'sort': '{"createdAt":-1}',
    'limit': '20',
  });

  return (postsRes.data['data'] as List)
      .map((json) => Post.fromJson(json))
      .toList();
});

5.3 Counter Cache Pattern

Counter caches denormalize counts for performance. When a user likes a post, update both the likes table and the likesCount on the post.

Future<void> toggleLike(String postId, String userId, bool isLiked) async {
  if (isLiked) {
    // Unlike: remove like record and decrement counter
    final likesRes = await client.get('/v1/data/likes', queryParameters: {
      'filter': '{"postId":"$postId","userId":"$userId"}',
    });
    final likeId = likesRes.data['data'][0]['_id'];
    await client.delete('/v1/data/likes/$likeId');

    // Decrement counter
    final post = await client.get('/v1/data/posts/$postId');
    final currentCount = post.data['data']['likesCount'] ?? 0;
    await client.put('/v1/data/posts/$postId', data: {
      'likesCount': currentCount - 1,
    });
  } else {
    // Like: create like record and increment counter
    await client.post('/v1/data/likes', data: {
      'postId': postId,
      'userId': userId,
    });

    final post = await client.get('/v1/data/posts/$postId');
    final currentCount = post.data['data']['likesCount'] ?? 0;
    await client.put('/v1/data/posts/$postId', data: {
      'likesCount': currentCount + 1,
    });
  }
}

5.4 AI Prompt Collection

> Create the social network schema with users, posts, comments, likes, and follows tables
> Build a Flutter feed screen with pull-to-refresh and infinite scroll
> Implement a like button with optimistic update and counter cache
> Create a user profile screen with follower/following counts
> Build a follow/unfollow toggle with real-time count update
> Generate a comment bottom sheet with auto-focus text input

6. Common Architecture Patterns

6.1 Next.js App Structure

app/
  (app)/                    # Authenticated layout group
    dashboard/
      page.tsx
    posts/
      page.tsx
      [id]/
        page.tsx
    settings/
      page.tsx
    layout.tsx              # App shell with sidebar + header
  (auth)/                   # Auth layout group
    login/
      page.tsx
    signup/
      page.tsx
    layout.tsx              # Minimal auth layout
  api/                      # API routes (if needed)
    webhooks/
      route.ts
  layout.tsx                # Root layout
  page.tsx                  # Landing page

application/
  dto/                      # Data Transfer Objects
    post.dto.ts
    user.dto.ts
    order.dto.ts
  hooks/
    queries/                # TanStack Query hooks
      use-posts.ts
      use-users.ts
      use-orders.ts
    mutations/              # TanStack Mutation hooks
      use-create-post.ts
      use-update-order.ts
  services/                 # Business logic
    order-state-machine.ts

infrastructure/
  api/
    client.ts               # bkendFetch wrapper
    endpoints.ts             # API endpoint constants
  auth/
    middleware.ts            # Auth middleware
    session.ts               # Session helpers

components/
  ui/                        # Radix UI primitives
  shared/                    # Shared components
  features/                  # Feature-specific components

6.2 Flutter App Structure

lib/
  core/
    network/
      bkend_client.dart      # Dio client setup
      auth_interceptor.dart   # Token refresh interceptor
      endpoints.dart          # API endpoint constants
    constants/
      app_constants.dart
    theme/
      app_theme.dart
    utils/
      validators.dart

  features/
    auth/
      data/
        auth_repository.dart
      models/
        user_model.dart
      presentation/
        login_screen.dart
        signup_screen.dart
      providers/
        auth_provider.dart

    feed/
      data/
        feed_repository.dart
      models/
        post_model.dart
      presentation/
        feed_screen.dart
        post_card.dart
      providers/
        feed_provider.dart

    profile/
      data/
        profile_repository.dart
      models/
        profile_model.dart
      presentation/
        profile_screen.dart
      providers/
        profile_provider.dart

  shared/
    widgets/
      loading_indicator.dart
      error_widget.dart
      empty_state.dart
    extensions/
      string_extensions.dart
      date_extensions.dart

  app.dart                    # MaterialApp with router
  main.dart                   # Entry point

7. Key Implementation Patterns

Pattern 1: bkendFetch Wrapper

Centralized API client that handles headers, auth tokens, and error formatting.

// infrastructure/api/client.ts
export async function bkendFetch<T = any>(
  path: string,
  options: BkendFetchOptions = {}
): Promise<{ success: boolean; data: T; meta?: any }> {
  const { token, headers: customHeaders, ...rest } = options;
  const headers: Record<string, string> = {
    "Content-Type": "application/json",
    "X-Project-Id": process.env.NEXT_PUBLIC_BKEND_PROJECT_ID!,
    "X-Environment": process.env.NEXT_PUBLIC_BKEND_ENVIRONMENT!,
    ...customHeaders as Record<string, string>,
  };
  if (typeof window === "undefined" && process.env.BKEND_API_KEY) {
    headers["X-API-Key"] = process.env.BKEND_API_KEY;
  }
  if (token) {
    headers["Authorization"] = `Bearer ${token}`;
  }
  const res = await fetch(
    `${process.env.NEXT_PUBLIC_BKEND_API_URL}${path}`,
    { headers, ...rest }
  );
  if (!res.ok) {
    const error = await res.json();
    throw new Error(error.error?.message || "bkend API error");
  }
  return res.json();
}

Pattern 2: Mock Mode Toggle

Switch between real API and mock data for offline development.

// infrastructure/api/client.ts
const USE_MOCK = process.env.NEXT_PUBLIC_USE_MOCK === "true";

export async function bkendFetch<T>(path: string, options?: BkendFetchOptions): Promise<T> {
  if (USE_MOCK) {
    const { getMockData } = await import("@/mocks/handlers");
    return getMockData<T>(path, options);
  }
  // ... real fetch implementation
}

Pattern 3: DTO Layer

Transform API responses into typed application objects.

// application/dto/post.dto.ts
export interface PostDTO {
  _id: string;
  title: string;
  content: string;
  authorId: string;
  status: "draft" | "published";
  tags: string[];
  createdAt: string;
  updatedAt: string;
}

export interface CreatePostDTO {
  title: string;
  content: string;
  authorId: string;
  status: "draft" | "published";
  tags?: string[];
}

export function toPost(dto: PostDTO): Post {
  return {
    id: dto._id,
    title: dto.title,
    content: dto.content,
    authorId: dto.authorId,
    status: dto.status,
    tags: dto.tags ?? [],
    createdAt: new Date(dto.createdAt),
    updatedAt: new Date(dto.updatedAt),
  };
}

Pattern 4: Query Key Factory

Organized query keys for TanStack Query cache management.

// application/hooks/queries/query-keys.ts
export const postKeys = {
  all: ["posts"] as const,
  lists: () => [...postKeys.all, "list"] as const,
  list: (filters: PostFilters) => [...postKeys.lists(), filters] as const,
  details: () => [...postKeys.all, "detail"] as const,
  detail: (id: string) => [...postKeys.details(), id] as const,
};

// Usage:
// queryClient.invalidateQueries({ queryKey: postKeys.lists() });

Pattern 5: Counter Cache

Maintain denormalized counts to avoid expensive aggregate queries.

// When creating a comment, also update the post's commentsCount
await bkendFetch("/v1/data/comments", {
  method: "POST",
  body: JSON.stringify({ content, postId, authorId }),
});

const post = await bkendFetch(`/v1/data/posts/${postId}`);
await bkendFetch(`/v1/data/posts/${postId}`, {
  method: "PUT",
  body: JSON.stringify({
    commentsCount: (post.data.commentsCount ?? 0) + 1,
  }),
});

Pattern 6: Order State Machine

See Section 4.2 for the full order state machine implementation.

Pattern 7: Optimistic Updates

Update the UI before the server confirms, then rollback on error.

// application/hooks/mutations/use-toggle-like.ts
export function useToggleLike(postId: string) {
  const queryClient = useQueryClient();
  return useMutation({
    mutationFn: (isLiked: boolean) => toggleLikeAPI(postId, isLiked),
    onMutate: async (isLiked) => {
      await queryClient.cancelQueries({ queryKey: postKeys.detail(postId) });
      const previous = queryClient.getQueryData(postKeys.detail(postId));
      queryClient.setQueryData(postKeys.detail(postId), (old: any) => ({
        ...old,
        likesCount: old.likesCount + (isLiked ? -1 : 1),
        isLiked: !isLiked,
      }));
      return { previous };
    },
    onError: (_err, _vars, context) => {
      queryClient.setQueryData(postKeys.detail(postId), context?.previous);
    },
    onSettled: () => {
      queryClient.invalidateQueries({ queryKey: postKeys.detail(postId) });
    },
  });
}

Pattern 8: Image Upload with Preview

Upload images to bkend storage with client-side preview.

Shortened here. Read the whole file on GitHub.

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