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APIs & servers (backend)280k · #15

backend-patterns

Helps your agent with server-side architecture patterns and database optimization. It's useful for building or reviewing code that runs on the server.

What it does

This feature helps organize your application's code efficiently, especially the server-side part (backend). It teaches how to structure internet responses (APIs) and how the database communicates with the server, making everything faster and more reliable.

When to use it

  • ✓When creating your application's 'entry points' to the internet (APIs).
  • ✓When organizing how code accesses and saves information in the database.
  • ✓When improving the speed and security of your application's responses.

Example of what to ask your AI

“How can I organize my code so that my application's API is faster and more secure?”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/affaan-m/ECC/blob/main/pi/core/skills/backend-patterns/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/affaan-m/ECC/blob/main/pi/core/skills/backend-patterns/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

It shows examples of how to divide code into logical parts (like 'layers') and how to make the database respond faster by avoiding unnecessary queries.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add affaan-m/ECC --skill backend-patterns

Or download just the file:

curl -L https://raw.githubusercontent.com/affaan-m/ECC/main/pi/core/skills/backend-patterns/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

Backend Development Patterns

Backend architecture patterns and best practices for scalable server-side applications.

When to Activate

  • Designing REST or GraphQL API endpoints
  • Implementing repository, service, or controller layers
  • Optimizing database queries (N+1, indexing, connection pooling)
  • Adding caching (Redis, in-memory, HTTP cache headers)
  • Setting up background jobs or async processing
  • Structuring error handling and validation for APIs
  • Building middleware (auth, logging, rate limiting)

API Design Patterns

RESTful API Structure

// PASS: Resource-based URLs
GET    /api/markets                 # List resources
GET    /api/markets/:id             # Get single resource
POST   /api/markets                 # Create resource
PUT    /api/markets/:id             # Replace resource
PATCH  /api/markets/:id             # Update resource
DELETE /api/markets/:id             # Delete resource

// PASS: Query parameters for filtering, sorting, pagination
GET /api/markets?status=active&sort=volume&limit=20&offset=0

Repository Pattern

// Abstract data access logic
interface MarketRepository {
  findAll(filters?: MarketFilters): Promise<Market[]>
  findById(id: string): Promise<Market | null>
  create(data: CreateMarketDto): Promise<Market>
  update(id: string, data: UpdateMarketDto): Promise<Market>
  delete(id: string): Promise<void>
}

class SupabaseMarketRepository implements MarketRepository {
  async findAll(filters?: MarketFilters): Promise<Market[]> {
    let query = supabase.from('markets').select('*')

    if (filters?.status) {
      query = query.eq('status', filters.status)
    }

    if (filters?.limit) {
      query = query.limit(filters.limit)
    }

    const { data, error } = await query

    if (error) throw new Error(error.message)
    return data
  }

  // Other methods...
}

Service Layer Pattern

// Business logic separated from data access
class MarketService {
  constructor(private marketRepo: MarketRepository) {}

  async searchMarkets(query: string, limit: number = 10): Promise<Market[]> {
    // Business logic
    const embedding = await generateEmbedding(query)
    const results = await this.vectorSearch(embedding, limit)

    // Fetch full data
    const markets = await this.marketRepo.findByIds(results.map(r => r.id))

    // Sort by similarity
    return markets.sort((a, b) => {
      const scoreA = results.find(r => r.id === a.id)?.score || 0
      const scoreB = results.find(r => r.id === b.id)?.score || 0
      return scoreA - scoreB
    })
  }

  private async vectorSearch(embedding: number[], limit: number) {
    // Vector search implementation
  }
}

Middleware Pattern

// Request/response processing pipeline
export function withAuth(handler: NextApiHandler): NextApiHandler {
  return async (req, res) => {
    const token = req.headers.authorization?.replace('Bearer ', '')

    if (!token) {
      return res.status(401).json({ error: 'Unauthorized' })
    }

    try {
      const user = await verifyToken(token)
      req.user = user
      return handler(req, res)
    } catch (error) {
      return res.status(401).json({ error: 'Invalid token' })
    }
  }
}

// Usage
export default withAuth(async (req, res) => {
  // Handler has access to req.user
})

Database Patterns

Query Optimization

// PASS: GOOD: Select only needed columns
const { data } = await supabase
  .from('markets')
  .select('id, name, status, volume')
  .eq('status', 'active')
  .order('volume', { ascending: false })
  .limit(10)

// FAIL: BAD: Select everything
const { data } = await supabase
  .from('markets')
  .select('*')

N+1 Query Prevention

// FAIL: BAD: N+1 query problem
const markets = await getMarkets()
for (const market of markets) {
  market.creator = await getUser(market.creator_id)  // N queries
}

// PASS: GOOD: Batch fetch
const markets = await getMarkets()
const creatorIds = markets.map(m => m.creator_id)
const creators = await getUsers(creatorIds)  // 1 query
const creatorMap = new Map(creators.map(c => [c.id, c]))

markets.forEach(market => {
  market.creator = creatorMap.get(market.creator_id)
})

Transaction Pattern

async function createMarketWithPosition(
  marketData: CreateMarketDto,
  positionData: CreatePositionDto
) {
  // Use Supabase transaction

…
FAQ

What are 'backend patterns'?

They are like recipes or guides that experienced developers use to build the 'invisible' part of applications (the server) in an organized, efficient, and scalable way.

What is an API?

It's a way for two computer programs to talk to each other. In the context of applications, it's how the app on your phone 'requests' information from the server and how the server 'responds'.

Why is optimizing database queries important?

Slow database queries make your application slow. Optimizing means making these queries faster so the user doesn't have to wait.

Details

Original description by the author

Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes. Use when building or reviewing Node.js, Express, or Next.js API routes and their data access.

repo: affaan-m/ECC

Popularity

GitHub stars
280k
Ranking position
#15
License
MIT
Updated
10/15/2026

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