L’interface est localisée ; les présentations et documents des Skills sont traduits automatiquement par IA dans votre langue. Le code, les commandes, chemins et termes techniques restent en version originale, et le document de l’auteur fait foi.
Explorer les Skills
Productivité · SKILL.md

backend-patterns

backend-patterns

Apply backend patterns — queues, caching, rate limits, serverless/edge. Use when "queue jobs", "caching layer", "rate limiting", "server actions", or "edge function". Which architecture to pick → audit-backend-architecture.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: backend-patterns description: > Apply backend patterns — queues, caching, rate limits, serverless/edge. Use when "queue jobs", "caching layer", "rate limiting", "server actions", or "edge function". Which architecture to pick → audit-backend-architecture. license: MIT

Backend Patterns Skill

Degree of freedom: MIXED. Which pattern to apply [HIGH freedom]; existing-architecture probes and the validation list [LOW freedom — run exactly].

How to reason

  1. Observe — existing server/api/actions, ORM, queues, cache
  2. Interpret — missing pattern vs duplicate vs wrong layer
  3. Classify — reuse / add-queue / add-cache / add-rate-limit / edge-fn
  4. Severity — unauthenticated mutation outranks a missing cache

Worked example

Observe: createOrder sends email inline; no Inngest/queue; checkout p95 4s. Interpret: confirmation is post-response work, not request-path. Classify: after() or an order/created job; keep the write transactional. Verify: order row commits; email/inventory run after response; retries do not double-charge.

Self-critique before reporting

  • Existing first — searched server/api/actions before adding a second pattern
  • Auth + validate — every mutation checks session and Zod
  • Idempotent — retries on the new path do not double-apply
  • Right owner — which architecture to pick → audit-backend-architecture

Design scalable, maintainable backend architectures using modern patterns and best practices.

Code examples lean on Next.js App Router + Supabase/Prisma. The patterns are stack-agnostic — adapt ORMs, client libraries, and deploy targets to your detected ecosystem.

Check existing first [LOW freedom — run exactly]

Before implementing ANY backend pattern, verify:

  1. Check existing architecture:
ls -la src/server/ src/api/ app/api/ supabase/functions/ 2>/dev/null
cat package.json | grep -i "prisma\|drizzle\|supabase\|trpc"
  1. Check existing patterns:
rg "createTRPCRouter|publicProcedure" --type ts -l
rg "'use server'" --type ts -l
ls -la supabase/migrations/*.sql 2>/dev/null | tail -5
  1. Check database setup:
cat prisma/schema.prisma 2>/dev/null | head -50
cat supabase/config.toml 2>/dev/null

Why: Backend changes have wide impact. Understand existing architecture first.

Server Actions (Next.js 16+) [HIGH freedom]

Next.js 16: Turbopack default; 'use cache' + cacheComponents; reactCompiler: true; middleware.ts → proxy.ts (grep both). Instant navigations → enhance-web-instant-nav.

  • Order inside every action: auth check → Zod safeParse → execute → map known errors (Prisma P2002) → generic failure message.
  • Return ActionResult<T>: { success: true, data } or { success: false, error, fieldErrors? }; never throw to the client.
  • revalidatePath after a successful write.
  • Post-response work (confirmation email, inventory, notifications) goes in after() from next/server, keeping the write transactional.
'use server'
import { after } from 'next/server'

export async function createOrder(formData: FormData) {
  const order = await db.order.create({ data: { /* ... */ } })
  after(async () => {                      // runs after the response is sent
    await sendOrderConfirmation(order.id)
    await updateInventory(order.items)
  })
  revalidatePath('/orders')
  return { success: true, data: order }
}

Full createUser action and the after() example: references/request-patterns.md §Server Actions.

tRPC Setup [HIGH freedom]

  • publicProcedure for reads anyone may do; protectedProcedure for anything that uses ctx.session.
  • Every procedure has a Zod .input(); mutations stamp createdById from the session, not the input.
  • List endpoints paginate by cursor: fetch limit + 1, pop the extra row as nextCursor.

Full usersRouter (getById, create, cursor-paginated list): references/request-patterns.md §tRPC router definition.

Supabase Edge Functions [HIGH freedom]

  • Deno.serve; answer OPTIONS with the CORS headers first.
  • Verify the webhook signature against the raw body before parsing JSON; 401 on mismatch.
  • Admin client from SUPABASE_SERVICE_ROLE_KEY bypasses RLS; use it only inside the function.
  • Catch everything; log server-side, return a generic 500 JSON body with CORS headers.

Full process-webhook function: references/request-patterns.md §Supabase Edge Function.

Database Patterns [HIGH freedom]

  • Optimistic locking — version INT column; UPDATE ... WHERE id = $1 AND version = $2 and treat 0 rows as a concurrent update.
  • Soft deletes — nullable deletedAt with an index; every read filters deletedAt: null; delete sets the timestamp.
  • Audit logging — audit_logs(table_name, record_id, action, old_data, new_data, user_id) filled by a SECURITY DEFINER trigger using TG_OP, row_to_json, auth.uid().
UPDATE orders SET status = 'shipped', version = version + 1
WHERE id = $1 AND version = $2;   -- 0 rows → concurrent update, retry or surface conflict

Soft-delete Prisma model and the full audit trigger: references/data-and-jobs.md §Soft deletes, §Audit logging.

Caching Patterns [HIGH freedom]

  • Next.js: fetch(url, { next: { revalidate, tags } }); revalidateTag on demand; unstable_cache around DB queries with tags.
  • Redis (Upstash): one getCachedData(key, fetcher, ttl) helper, cache-aside; key by entity and id (user:${id}).
  • Pick TTL by staleness tolerance, and always tag so a write can bust the cache.
const getCachedUser = unstable_cache(
  async (id: string) => db.user.findUnique({ where: { id } }),
  ['user'],
  { revalidate: 3600, tags: ['users'] }
)

Next.js cache calls and the Redis helper: references/data-and-jobs.md §Next.js cache, §Redis caching.

Background Jobs [HIGH freedom]

  • Default: Inngest. inngest.createFunction({ id }, { event }, async ({ event, step }) => ...); each side effect in its own step.run so retries resume, not restart.
  • Trigger with inngest.send({ name: 'order/created', data }) from the Server Action after the write commits.
  • Early exit (out of stock) is a step.run + return { status: 'cancelled' }, not a throw.
export const processOrder = inngest.createFunction(
  { id: 'process-order' }, { event: 'order/created' },
  async ({ event, step }) => {
    const payment = await step.run('charge-payment', () => chargeCustomer(event.data.paymentMethod))
    await step.run('send-confirmation', () => sendOrderConfirmation(event.data.orderId))
    return { status: 'completed', paymentId: payment.id }
  }
)

Full Inngest function and the Trigger.dev scheduled-task alternative: references/data-and-jobs.md §Background jobs, §Alternatives.

Rate Limiting [HIGH freedom]

  • @upstash/ratelimit with Ratelimit.slidingWindow(10, '10 s') over Redis.fromEnv().
  • Key by user id (or IP for anonymous); on !success return Too many requests with retryAfter seconds from reset.

Full rateLimitedAction: references/request-patterns.md §Rate limiting.

Architecture patterns (distributed systems) [HIGH freedom]

Gateway, BFF, bulkhead, circuit breaker, outbox+CDC, saga, hexagonal, ACL, and strangler-fig → references/architecture-patterns.md. Pick the pattern for the topology (no mesh on a monolith; no CQRS unless reads/writes diverge). Timeouts/retries/idempotency → audit-resilience; structural gap report → audit-backend-architecture.

Validation [LOW freedom — do not skip]

After implementing backend patterns:

  1. Error handling → All errors caught, logged, safe response returned
  2. Auth checks → Every mutation verifies authentication
  3. Input validation → Zod schema on all inputs
  4. Rate limiting → Sensitive endpoints protected
  5. Idempotency → Critical operations handle retries
  6. Logging → Structured logs without sensitive data
  7. Testing → Unit tests for business logic, integration for APIs
Skills enregistrées