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bunjs-architecture Use when implementing clean architecture (routes/controllers/services/repositories), establishing camelCase conventions, designing Prisma schemas, or planning structured workflows for Bun.js applications. See bunjs for basics, bunjs-production for deployment.
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name bunjs-architecture version 1.0.0 description Use when implementing clean architecture (routes/controllers/services/repositories), establishing camelCase conventions, designing Prisma schemas, or planning structured workflows for Bun.js applications. See bunjs for basics, bunjs-production for deployment. keywords ["clean architecture","layered architecture","camelCase","naming conventions","Prisma schema","repository pattern","separation of concerns","code organization"] plugin dev updated "2026-01-20T00:00:00.000Z"
Bun.js Clean Architecture Patterns
Overview
This skill covers layered architecture, clean code patterns, camelCase naming conventions, and structured implementation workflows for Bun.js TypeScript backend applications. Use this skill when building complex, maintainable applications that require strict separation of concerns.
When to use this skill:
Implementing layered architecture (routes → controllers → services → repositories)
Establishing coding conventions and naming standards
Designing database schemas with Prisma
Creating API endpoint specifications
Planning implementation workflows
dev:bunjs - Core Bun patterns, HTTP servers, basic database accessdev:bunjs-production - Production deployment, Docker, AWS, Redisdev:bunjs-apidog - OpenAPI specifications and Apidog integration
Clean Architecture Principles
1. Layered Architecture ALWAYS separate concerns into distinct layers with single responsibilities:
┌─────────────────────────────────────┐
│ Routes Layer │ ← Define API routes, attach middleware
│ (src/routes/) │ Map to controllers
└──────────────┬──────────────────────┘
│
┌──────────────▼──────────────────────┐
│ Controllers Layer │ ← Handle HTTP requests/responses
│ (src/controllers/) │ Call services, no business logic
└──────────────┬──────────────────────┘
│
┌──────────────▼──────────────────────┐
│ Services Layer │ ← Implement business logic
│ (src/services/) │ Orchestrate repositories
└──────────────┬──────────────────────┘ No HTTP concerns
│
┌──────────────▼──────────────────────┐
│ Repositories Layer │ ← Encapsulate database access
│ (src/database/repositories/) │ Use Prisma, type-safe queries
└─────────────────────────────────────┘ No business logic
Controllers NEVER contain business logic (only HTTP handling)
Services NEVER access HTTP context (no req, res, Context)
Repositories are the ONLY layer that touches Prisma/database
Each layer depends only on layers below it
2. Dependency Flow
Routes → Controllers → Services → Repositories → Database
Service imports from Controller
Controller → Repository
3. Separation of Concerns Layer Responsibilities Forbidden Routes Define endpoints, attach middleware, map to controllers Business logic, DB access Controllers Extract data from HTTP, call services, format responses Business logic, DB access, validation logic Services Business logic, orchestrate operations, manage transactions HTTP handling, direct DB access Repositories Database queries, type-safe Prisma operations Business logic, HTTP handling
camelCase Conventions (CRITICAL)
Why camelCase Everywhere? TypeScript-first full-stack development requires ONE naming convention across all layers:
✅ Database → Prisma → TypeScript → API → Frontend (1:1 mapping)
✅ Zero translation layer = zero mapping bugs
✅ Autocomplete works perfectly everywhere
✅ Type safety maintained end-to-end
This is non-negotiable for our stack.
API Field Naming: camelCase CRITICAL: All JSON REST API field names MUST use camelCase.
✅ Native to JavaScript/JSON - No transformation needed
✅ Industry standard - Google, Microsoft, Facebook, AWS use camelCase
✅ TypeScript friendly - Direct mapping to interfaces
✅ OpenAPI/Swagger convention - Standard for API specs
✅ Auto-generated clients - Expected by code generation tools
{
"userId" : "123" ,
"firstName" : "John" ,
"lastName" : "Doe" ,
"emailAddress" : "john@example.com" ,
"createdAt" : "2025-01-06T12:00:00Z" ,
"isActive" : true ,
"phoneNumber" : "+1234567890"
}
{
"user_id" : "123" ,
"first_name" : "John" ,
"created_at" : "2025-01-06T12:00:00Z"
}
{
"UserId" : "123" ,
"FirstName" : "John"
}
Request Bodies : All fields in camelCaseResponse Bodies : All fields in camelCaseQuery Parameters : Use camelCase (pageSize, sortBy, orderBy)Zod Schemas : Define fields in camelCaseTypeScript Interfaces : Match API camelCase
Database Naming: camelCase CRITICAL: All database identifiers (tables, columns, indexes, constraints) use camelCase.
✅ Stack consistency - TypeScript is our primary language
✅ Zero translation layer - Database names map 1:1 with TypeScript types
✅ Reduced complexity - No snake_case ↔ camelCase conversion
✅ Modern ORM compatibility - Prisma, Drizzle, TypeORM work seamlessly
✅ Team productivity - Full-stack TypeScript developers think in camelCase
1. Tables: Singular, camelCase with @@map() to plural
model User {
userId String @id
// ...
@@map("users") // Table name: users
}
userId, firstName, emailAddress, createdAt, isActive
3. Primary Keys: {tableName}Id
userId // in users table
orderId // in orders table
productId // in products table
4. Foreign Keys: Same as referenced primary key
model Order {
orderId String @id
userId String // references users.userId
user User @relation(fields: [userId], references: [userId])
}
5. Boolean Fields: Prefix with is/has/can
isActive, isDeleted, isPublic
hasPermission, hasAccess
canEdit, canDelete
6. Timestamps: Consistent suffixes
createdAt // creation time
updatedAt // last modification
deletedAt // soft delete time
lastLoginAt // specific event times
publishedAt
verifiedAt
7. Indexes: idx{TableName}{ColumnName}
@@index([emailAddress], name: "idxUsersEmailAddress")
@@index([userId, createdAt], name: "idxOrdersUserIdCreatedAt")
// Foreign keys (Prisma auto-generates, but can specify)
@@index([userId], map: "fkOrdersUserId")
// Unique constraints
@@unique([emailAddress], name: "unqUsersEmailAddress")
Prisma Schema Example (Perfect Mapping) model User {
userId String @id @default(cuid())
emailAddress String @unique
firstName String?
lastName String?
phoneNumber String?
isActive Boolean @default(true)
createdAt DateTime @default(now())
updatedAt DateTime @updatedAt
lastLoginAt DateTime?
orders Order[]
sessions Session[]
@@index([emailAddress], name: "idxUsersEmailAddress")
@@index([createdAt], name: "idxUsersCreatedAt")
@@map("users")
}
model Order {
orderId String @id @default(cuid())
userId String
totalAmount Decimal @db.Decimal(10, 2)
orderStatus String
createdAt DateTime @default(now())
updatedAt DateTime @updatedAt
user User @relation(fields: [userId], references: [userId])
orderItems OrderItem[]
@@index([userId], name: "idxOrdersUserId")
@@index([createdAt], name: "idxOrdersCreatedAt")
@@map("orders")
}
model OrderItem {
orderItemId String @id @default(cuid())
orderId String
productId String
quantity Int
unitPrice Decimal @db.Decimal(10, 2)
order Order @relation(fields: [orderId], references: [orderId])
@@index([orderId], name: "idxOrderItemsOrderId")
@@map("orderItems")
}
TypeScript Types (Perfect Match)
interface User {
userId : string ;
emailAddress : string ;
firstName : string | null ;
lastName : string | null ;
phoneNumber : string | null ;
isActive : boolean ;
createdAt : Date ;
updatedAt : Date ;
lastLoginAt : Date | null ;
}
interface Order {
orderId : string ;
userId : string ;
totalAmount : number ;
orderStatus : string ;
createdAt : Date ;
updatedAt : Date ;
}
Benefits of Single Convention
userId
userId
userId
userId
userId
Layer Templates
Route Template
import { Hono } from 'hono' ;
import * as userController from '@/controllers/user.controller' ;
import { validate, validateQuery } from '@middleware/validator' ;
import { authenticate, authorize } from '@middleware/auth' ;
import { createUserSchema, updateUserSchema, getUsersQuerySchema } from '@/schemas/user.schema' ;
const userRouter = new Hono ();
userRouter.get ('/' , validateQuery (getUsersQuerySchema), userController.getUsers );
userRouter.get ('/:id' , userController.getUserById );
userRouter.post ('/' , validate (createUserSchema), userController.createUser );
userRouter.patch ('/:id' , authenticate, validate (updateUserSchema), userController.updateUser );
userRouter.delete ('/:id' , authenticate, authorize ('admin' ), userController.deleteUser );
export default userRouter;
Controller Template
import type { Context } from 'hono' ;
import * as userService from '@/services/user.service' ;
import type { CreateUserDto , UpdateUserDto , GetUsersQuery } from '@/schemas/user.schema' ;
export const createUser = async (c : Context const data = c.get ('validatedData' ) as CreateUserDto ;
const user = await userService.createUser (data);
return c.json (user, 201 );
};
export const getUserById = async (c : Context const id = c.req .param ('id' );
const user = await userService.getUserById (id);
return c.json (user);
};
export const getUsers = async (c : Context const query = c.get ('validatedQuery' ) as GetUsersQuery ;
const result = await userService.getUsers (query);
return c.json (result);
};
export const updateUser = async (c : Context const id = c.req .param ('id' );
const data = c.get ('validatedData' ) as UpdateUserDto ;
const user = await userService.updateUser (id, data);
return c.json (user);
};
export const deleteUser = async (c : Context const id = c.req .param ('id' );
await userService.deleteUser (id);
return c.json ({ message : 'User deleted successfully' });
};
✅ Extract validated data from context
✅ Call service layer functions
✅ Format HTTP responses
❌ NO business logic
❌ NO database access
❌ NO validation logic (use middleware)
Service Template
import { userRepository } from '@/database/repositories/user.repository' ;
import { NotFoundError , ConflictError } from '@core/errors' ;
import type { CreateUserDto , UpdateUserDto , GetUsersQuery } from '@/schemas/user.schema' ;
import bcrypt from 'bcrypt' ;
export const createUser = async (data : CreateUserDto if (await userRepository.exists (data.emailAddress )) {
throw new ConflictError ('Email already exists' );
}
const hashedPassword = await bcrypt.hash (data.password , 10 );
const user = await userRepository.create ({
...data,
password : hashedPassword
});
const { password, ...withoutPassword } = user;
return withoutPassword;
};
export const getUserById = async (id : string const user = await userRepository.findById (id);
if (!user) throw new NotFoundError ('User' );
const { password, ...withoutPassword } = user;
return withoutPassword;
};
export const getUsers = async (query : GetUsersQuery const { page, limit, sortBy, order, role } = query;
const { users, total } = await userRepository.findMany ({
skip : (page - 1 ) * limit,
take : limit,
where : role ? { role } : undefined ,
orderBy : sortBy ? { [sortBy]: order } : { createdAt : order }
});
return {
data : users.map (({ password, ...u } ) => u),
pagination : {
page,
limit,
total,
totalPages : Math .ceil (total / limit)
}
};
};
export const updateUser = async (id : string , data : UpdateUserDto const existing = await userRepository.findById (id);
if (!existing) throw new NotFoundError ('User' );
if (data.password ) {
data.password = await bcrypt.hash (data.password , 10 );
}
const user = await userRepository.update (id, data);
const { password, ...withoutPassword } = user;
return withoutPassword;
};
export const deleteUser = async (id : string const existing = await userRepository.findById (id);
if (!existing) throw new NotFoundError ('User' );
await userRepository.delete (id);
};
✅ Implement business logic
✅ Orchestrate multiple repository calls
✅ Handle transactions
✅ Throw custom errors
❌ NO HTTP handling (no Context, Request, Response)
❌ NO direct Prisma calls (use repositories)
Repository Template
import { prisma } from '@/database/client' ;
import type { Prisma , User } from '@prisma/client' ;
export class UserRepository {
findById (id : string ): Promise <User | null > {
return prisma.user .findUnique ({ where : { userId : id } });
}
findByEmail (email : string ): Promise <User | null > {
return prisma.user .findUnique ({ where : { emailAddress : email } });
}
create (data : Prisma .UserCreateInput ): Promise <User > {
return prisma.user .create ({ data });
}
update (id : string , data : Prisma .UserUpdateInput ): Promise <User > {
return prisma.user .update ({
where : { userId : id },
data
});
}
async delete (id : string ): Promise <void > {
await prisma.user .delete ({ where : { userId : id } });
}
async exists (email : string ): Promise <boolean > {
return (await prisma.user .count ({ where : { emailAddress : email } })) > 0 ;
}
async findMany (options : {
skip ?: number ;
take ?: number ;
where ?: Prisma .UserWhereInput ;
orderBy ?: Prisma .UserOrderByWithRelationInput ;
}): Promise <{ users : User []; total : number }> {
const [users, total] = await prisma.$transaction([
prisma.user .findMany (options),
prisma.user .count ({ where : options.where })
]);
return { users, total };
}
}
export const userRepository = new UserRepository ();
✅ Encapsulate ALL database access
✅ Use Prisma's type-safe API
✅ Handle transactions when needed
✅ Return Prisma types
❌ NO business logic
❌ NO HTTP handling
Schema Template (Zod)
import { z } from 'zod' ;
export const createUserSchema = z.object ({
emailAddress : z.string ().email (),
password : z.string ()
.min (8 , 'Password must be at least 8 characters' )
.regex (/[A-Z]/ , 'Password must contain uppercase letter' )
.regex (/[a-z]/ , 'Password must contain lowercase letter' )
.regex (/[0-9]/ , 'Password must contain number' )
.regex (/[^A-Za-z0-9]/ , 'Password must contain special character' ),
firstName : z.string ().min (2 ).max (100 ),
lastName : z.string ().min (2 ).max (100 ),
phoneNumber : z.string ().optional (),
role : z.enum (['user' , 'admin' , 'moderator' ]).default ('user' )
});
export const updateUserSchema = createUserSchema.partial ();
export const getUsersQuerySchema = z.object ({
page : z.coerce .number ().positive ().default (1 ),
limit : z.coerce .number ().positive ().max (100 ).default (20 ),
sortBy : z.enum (['createdAt' , 'firstName' , 'emailAddress' ]).optional (),
order : z.enum (['asc' , 'desc' ]).default ('desc' ),
role : z.enum (['user' , 'admin' , 'moderator' ]).optional ()
});
export type CreateUserDto = z.infer <typeof createUserSchema>;
export type UpdateUserDto = z.infer <typeof updateUserSchema>;
export type GetUsersQuery = z.infer <typeof getUsersQuerySchema>;
✅ Use camelCase for all field names
✅ Export TypeScript types via z.infer
✅ Provide clear error messages
✅ Use .partial() for update schemas
✅ Use .default() for query parameters
Implementation Workflow When implementing a new feature, follow this 9-phase workflow:
Phase 1: Analysis & Planning
Read existing codebase to understand patterns
Identify required layers (routes, controllers, services, repositories)
Check for existing utilities/middleware to reuse
Plan database schema changes (if needed)
Phase 2: Database Schema (if needed)
Design Prisma schema with camelCase conventions
Define models, relations, indexes
Create migration: bunx prisma migrate dev --name <name>
Generate Prisma client: bunx prisma generate
Phase 3: Validation Layer
Define Zod schemas in src/schemas/ with camelCase fields
Export TypeScript types from schemas
Ensure all request data is validated (body, query, params)
Phase 4: Repository Layer (if needed)
Create/update repository class in src/database/repositories/
Implement methods (findById, create, update, delete, findMany)
Use Prisma types (Prisma.UserCreateInput, etc.)
Handle transactions where needed
Phase 5: Business Logic Layer
Implement service functions in src/services/
Use repositories for data access
Implement business rules and orchestration
Handle errors with custom error classes
NEVER access HTTP context in services
Phase 6: HTTP Layer
Create controller functions in src/controllers/
Extract validated data from context
Call service functions
Format responses (success/error)
NEVER implement business logic in controllers
Phase 7: Routing Layer
Define routes in src/routes/
Attach middleware (validation, auth, etc.)
Map routes to controller functions
Group related routes in route files
Phase 8: Testing
Write unit tests for services (tests/unit/services/)
Write integration tests for API endpoints (tests/integration/api/)
Test error cases and edge cases
Use Bun's test runner: bun test
Phase 9: Quality Assurance
Run formatter: bun run format
Run linter: bun run lint
Run type checker: bun run typecheck
Run tests: bun test
Review code for security issues
Check logging is appropriate (no sensitive data)
Database Schema Design Best Practices
1. Primary Keys // ✅ CORRECT: Use cuid() for user-facing IDs
model User {
userId String @id @default(cuid())
}
// ✅ CORRECT: Use uuid() for internal IDs
model Order {
orderId String @id @default(uuid())
}
// ❌ WRONG: Auto-incrementing integers expose system info
model User {
userId Int @id @default(autoincrement())
}
2. Timestamps // ✅ CORRECT: Always include created and updated timestamps
model User {
userId String @id @default(cuid())
createdAt DateTime @default(now())
updatedAt DateTime @updatedAt
}
// ✅ CORRECT: Add specific event timestamps when needed
model User {
lastLoginAt DateTime?
verifiedAt DateTime?
deletedAt DateTime? // For soft deletes
}
3. Relations // ✅ CORRECT: Bidirectional relations
model User {
userId String @id @default(cuid())
orders Order[]
}
model Order {
orderId String @id @default(cuid())
userId String
user User @relation(fields: [userId], references: [userId])
}
// ✅ CORRECT: Many-to-many with explicit join table
model Post {
postId String @id @default(cuid())
tags PostTag[]
}
model Tag {
tagId String @id @default(cuid())
posts PostTag[]
}
model PostTag {
postId String
tagId String
post Post @relation(fields: [postId], references: [postId])
tag Tag @relation(fields: [tagId], references: [tagId])
@@id([postId, tagId])
}
4. Indexes // ✅ CORRECT: Index frequently queried fields
model User {
emailAddress String @unique
firstName String
createdAt DateTime @default(now())
@@index([emailAddress]) // For lookups
@@index([createdAt]) // For sorting
@@index([firstName, lastName]) // Compound index for searches
}
5. Enums // ✅ CORRECT: Use enums for constrained values
enum UserRole {
USER
ADMIN
MODERATOR
}
model User {
role UserRole @default(USER)
}
// ❌ WRONG: Using strings without constraints
model User {
role String // Can be anything, no validation
}
API Endpoint Design Patterns
1. RESTful Resource Naming ✅ CORRECT:
GET /api/users → List users
POST /api/users → Create user
GET /api/users/:id → Get user
PATCH /api/users/:id → Update user (partial)
PUT /api/users/:id → Replace user (full)
DELETE /api/users/:id → Delete user
GET /api/users/:id/orders → User's orders (nested resource)
POST /api/users/:id/orders → Create order for user
❌ WRONG:
GET /api/getUsers
POST /api/createUser
GET /api/user/:id (singular)
2. Query Parameters (camelCase)
GET /api/users?pageSize=20 &sortBy=createdAt&orderBy=desc&isActive=true
const getUsersQuerySchema = z.object ({
pageSize : z.coerce .number ().positive ().max (100 ).default (20 ),
sortBy : z.enum (['createdAt' , 'firstName' , 'emailAddress' ]).optional (),
orderBy : z.enum (['asc' , 'desc' ]).default ('desc' ),
isActive : z.coerce .boolean ().optional ()
});
3. Response Formats
{
"data" : [
{ "userId" : "123" , "firstName" : "John" , "emailAddress" : "john@example.com" }
],
"pagination" : {
"page" : 1 ,
"pageSize" : 20 ,
"total" : 150 ,
"totalPages" : 8
}
}
{
"data" : {
"userId" : "123" ,
"firstName" : "John" ,
"emailAddress" : "john@example.com" ,
"createdAt" : "2025-01-06T12:00:00Z"
}
}
{
"statusCode" : 422 ,
"type" : "ValidationError" ,
"message" : "Invalid request data" ,
"details" : [
{ "field" : "emailAddress" , "message" : "Invalid email format" }
]
}
Consistency Checklist Before implementing any feature, ensure consistency with the existing codebase:
NEVER introduce new patterns without explicit approval.
Clean architecture patterns for Bun.js TypeScript backend. For core patterns, see dev:bunjs. For production deployment, see dev:bunjs-production.
