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dynamic Fullstack development with bkend.ai BaaS — authentication, database, API integration.
Triggers: fullstack, BaaS, login, signup, database, web app
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Télécharger Zip Téléchargement... name dynamic classification capability classification-reason Pattern guidance may overlap with model's built-in knowledge as it improves deprecation-risk medium effort medium description Fullstack development with bkend.ai BaaS — authentication, database, API integration.
Triggers: fullstack, BaaS, login, signup, database, web app
argument-hint [init|guide|help] agent bkit:bkend-expert allowed-tools ["Read","Write","Edit","Glob","Grep","Bash","mcp__bkend__*"] user-invocable true imports ["${PLUGIN_ROOT}/templates/design.template.md"] next-skill phase-1-schema pdca-phase plan task-template [Init-Dynamic] {feature}
Intermediate (Dynamic) Skill
Actions
Action Description Example initProject initialization (/init-dynamic feature) /dynamic init my-saasguideDisplay development guide /dynamic guidehelpBaaS integration help /dynamic help
init (Project Initialization)
Create Next.js + Tailwind project structure
Configure bkend.ai MCP (.mcp.json)
Create CLAUDE.md (Level: Dynamic specified)
Create docs/ folder structure
src/lib/bkend.ts client template
Initialize .bkit-memory.json
guide (Development Guide)
bkend.ai auth/data configuration guide
Phase 1-9 full Pipeline guide
API integration patterns
help (BaaS Help)
Explain bkend.ai basic concepts
Auth, database, file storage usage
MCP integration methods
Target Audience
Frontend developers
Solo entrepreneurs
Those who want to build fullstack services quickly
Tech Stack
Frontend:
- React / Next.js 14+
- TypeScript
- Tailwind CSS
- TanStack Query (data fetching)
- Zustand (state management)
Backend (BaaS):
- bkend.ai
- Auto REST API
- MongoDB database
- Built-in authentication (JWT)
- Real-time features (WebSocket)
Deployment:
- Vercel (frontend)
- bkend.ai (backend)
Language Tier Guidance (v1.3.0)
Recommended : Tier 1-2 languages
Dynamic level supports full-stack development with strong AI compatibility.
Tier Allowed Reason Tier 1 ✅ Primary Full AI support Tier 2 ✅ Yes Mobile (Flutter/RN), Modern web (Vue, Astro) Tier 3 ⚠️ Limited Platform-specific needs only Tier 4 ❌ No
React Native (Tier 1 via TypeScript) - Recommended
Flutter (Tier 2 via Dart) - Supported
Project Structure project/
├── src/
│ ├── app/ # Next.js App Router
│ │ ├── (auth)/ # Auth-related routes
│ │ │ ├── login/
│ │ │ └── register/
│ │ ├── (main)/ # Main routes
│ │ │ ├── dashboard/
│ │ │ └── settings/
│ │ ├── layout.tsx
│ │ └── page.tsx
│ │
│ ├── components/ # UI components
│ │ ├── ui/ # Basic UI (Button, Input...)
│ │ └── features/ # Feature-specific components
│ │
│ ├── hooks/ # Custom hooks
│ │ ├── useAuth.ts
│ │ └── useQuery.ts
│ │
│ ├── lib/ # Utilities
│ │ ├── bkend.ts # bkend.ai client
│ │ └── utils.ts
│ │
│ ├── stores/ # State management (Zustand)
│ │ └── auth-store.ts
│ │
│ └── types/ # TypeScript types
│ └── index.ts
│
├── docs/ # PDCA documents
│ ├── 01-plan/
│ ├── 02-design/
│ │ ├── data-model.md # Data model
│ │ └── api-spec.md # API specification
│ ├── 03-analysis/
│ └── 04-report/
│
├── .mcp.json # bkend.ai MCP config (type: http)
├── .env.local # Environment variables
├── package.json
└── README.md
Core Patterns
bkend.ai Client Setup
const API_BASE = process.env .NEXT_PUBLIC_BKEND_API_URL || 'https://api.bkend.ai/v1' ;
const PROJECT_ID = process.env .NEXT_PUBLIC_BKEND_PROJECT_ID !;
const ENVIRONMENT = process.env .NEXT_PUBLIC_BKEND_ENV || 'dev' ;
async function bkendFetch (path : string , options : RequestInit = {} ) {
const token = localStorage .getItem ('bkend_access_token' );
const res = await fetch (`${API_BASE} ${path} ` , {
...options,
headers : {
'Content-Type' : 'application/json' ,
'x-project-id' : PROJECT_ID ,
'x-environment' : ENVIRONMENT ,
...(token && { Authorization : `Bearer ${token} ` }),
...options.headers ,
},
});
if (!res.ok ) throw new Error (await res.text ());
return res.json ();
}
export const bkend = {
auth : {
signup : (body : {email: string ; password: string } ) => bkendFetch ('/auth/email/signup' , {method : 'POST' , body : JSON .stringify (body)}),
signin : (body : {email: string ; password: string } ) => bkendFetch ('/auth/email/signin' , {method : 'POST' , body : JSON .stringify (body)}),
me : () => bkendFetch ('/auth/me' ),
refresh : (refreshToken : string ) => bkendFetch ('/auth/refresh' , {method : 'POST' , body : JSON .stringify ({refreshToken})}),
signout : () => bkendFetch ('/auth/signout' , {method : 'POST' }),
},
data : {
list : (table : string , params ?: Record <string ,string > ) => bkendFetch (`/data/${table} ?${new URLSearchParams(params)} ` ),
get : (table : string , id : string ) => bkendFetch (`/data/${table} /${id} ` ),
create : (table : string , body : any ) => bkendFetch (`/data/${table} ` , {method : 'POST' , body : JSON .stringify (body)}),
update : (table : string , id : string , body : any ) => bkendFetch (`/data/${table} /${id} ` , {method : 'PATCH' , body : JSON .stringify (body)}),
delete : (table : string , id : string ) => bkendFetch (`/data/${table} /${id} ` , {method : 'DELETE' }),
},
};
Authentication Hook
import { create } from 'zustand' ;
import { persist } from 'zustand/middleware' ;
import { bkend } from '@/lib/bkend' ;
interface AuthState {
user : User | null ;
isLoading : boolean ;
login : (email : string , password : string ) => Promise <void >;
logout : () => void ;
}
export const useAuth = create<AuthState >()(
persist (
(set ) => ({
user : null ,
isLoading : false ,
login : async (email, password) => {
set ({ isLoading : true });
const { user, token } = await bkend.auth .login ({ email, password });
set ({ user, isLoading : false });
},
logout : () => {
bkend.auth .logout ();
set ({ user : null });
},
}),
{ name : 'auth-storage' }
)
);
Data Fetching (TanStack Query)
const { data, isLoading, error } = useQuery ({
queryKey : ['items' , filters],
queryFn : () => bkend.collection ('items' ).find (filters),
});
const { data : item } = useQuery ({
queryKey : ['items' , id],
queryFn : () => bkend.collection ('items' ).findById (id),
enabled : !!id,
});
const mutation = useMutation ({
mutationFn : (newItem ) => bkend.collection ('items' ).create (newItem),
onSuccess : () => {
queryClient.invalidateQueries (['items' ]);
},
});
Protected Route
'use client' ;
import { useAuth } from '@/hooks/useAuth' ;
import { redirect } from 'next/navigation' ;
export function ProtectedRoute ({ children }: { children: React.ReactNode } ) {
const { user, isLoading } = useAuth ();
if (isLoading) return <LoadingSpinner /> ;
if (!user) redirect ('/login' );
return <> {children}</> ;
}
Data Model Design Principles
interface BaseDocument {
_id : string ;
createdAt : Date ;
updatedAt : Date ;
}
interface Post extends BaseDocument {
userId : string ;
title : string ;
content : string ;
tags : string [];
metadata : {
viewCount : number ;
likeCount : number ;
};
}
MCP Integration
Claude Code CLI (Recommended) claude mcp add bkend --transport http https://api.bkend.ai/mcp
.mcp.json (Per Project) {
"mcpServers" : {
"bkend" : {
"type" : "http" ,
"url" : "https://api.bkend.ai/mcp"
}
}
}
Authentication
OAuth 2.1 + PKCE (browser auto-auth)
No API Key/env vars needed
First MCP request opens browser -> login to bkend console -> select Organization -> approve permissions
Verify: "Show my bkend projects"
## Environment Variables (.env.local)
NEXT_PUBLIC_BKEND_API_URL=https://api.bkend.ai/v1
NEXT_PUBLIC_BKEND_PROJECT_ID=your-project-id
NEXT_PUBLIC_BKEND_ENV=dev
Note: Project ID is found in bkend console (console.bkend.ai).
Via MCP: "Show my project list" -> backend_project_list
## Limitations
❌ Complex backend logic (serverless function limits)
❌ Large-scale traffic (within BaaS limits)
❌ Custom infrastructure control
❌ Microservices architecture
## When to Upgrade
Move to **Enterprise Level** if you need:
→ "Traffic will increase significantly"
→ "I want to split into microservices"
→ "I need my own server/infrastructure"
→ "I need complex backend logic"
## bkit Features for Dynamic Level (v1.5.1)
### Output Style: bkit-pdca-guide (Recommended)
For optimal PDCA workflow experience, activate the PDCA guide style:
/output-style bkit-pdca-guide
This provides:
- PDCA status badges showing current phase progress
- Gap analysis suggestions after code changes
- Automatic next-phase guidance with checklists
### Agent Teams (2 Teammates)
Dynamic projects support Agent Teams for parallel PDCA execution:
| Role | Agents | PDCA Phases |
|------|--------|-------------|
| developer | bkend-expert | Do, Act |
| qa | qa-monitor, gap-detector | Check |
**To enable:**
1. Set environment: `CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1`
2. Start team mode: `/pdca team {feature}`
3. Monitor progress: `/pdca team status`
### Agent Memory (Auto-Active)
All bkit agents automatically remember project context across sessions.
No setup needed — agents use `project` scope memory for this codebase.
---
## Common Mistakes
| Mistake | Solution |
|---------|----------|
| CORS error | Register domain in bkend.ai console |
| 401 Unauthorized | Token expired, re-login or refresh token |
| Data not showing | Check collection name, query conditions |
| Type error | Sync TypeScript type definitions with schema |