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vignesh2027/ai-agent-skills/backend-engineering
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PublishedSeptember 28, 2026 at 02:23 AM
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version: "1.0.0" name: backend-engineering description: Design services that are reliable, observable, secure, and maintainable difficulty: senior domains: [general]


Overview

Backend services are the load-bearing walls of software systems. They must be reliable under partial failure, observable in production, and secure against malicious input. This skill applies the engineering discipline required for production-grade services.

When to Use

  • Before implementing a new service or significant backend feature
  • When a service has reliability, performance, or security issues
  • As part of the /review workflow for backend PRs

Process

Step 1: Define the contract

Document: endpoints/methods, request/response schemas, error codes, authentication requirements, rate limits. No implementation before the contract is defined.

Step 2: Design for failure

Every outbound call must have: timeout, retry with backoff, circuit breaker, fallback. Services that don't handle dependency failures will fail when their dependencies fail.

Step 3: Input validation at the boundary

Validate all incoming data before processing: types, required fields, length limits, format constraints. Reject invalid input — don't try to fix it.

Step 4: Idempotency for mutations

All write operations should be idempotent where possible. Use idempotency keys for payment and other sensitive operations.

Step 5: Database access

  • No N+1 queries
  • Transactions for operations that must be atomic
  • Read replicas for read-heavy workloads
  • Connection pooling configured

Step 6: Logging and observability

Implement structured logging, metrics (four golden signals), and distributed tracing. See observability-and-monitoring.

Step 7: Security

  • Authenticate every request
  • Authorize every resource access
  • Validate all inputs
  • No secrets in logs or responses

See security-and-hardening.

Step 8: Graceful shutdown

Handle: SIGTERM, drain in-flight requests, close database connections, flush logs. Services that don't handle graceful shutdown cause errors during deployments.

Verification Requirements

  • [ ] Contract documented before implementation
  • [ ] All outbound calls have timeout and retry
  • [ ] Input validation at the service boundary
  • [ ] No N+1 queries
  • [ ] Authentication and authorization on every request/resource
  • [ ] Graceful shutdown implemented
  • [ ] Four golden signals instrumented
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