The shift from monolithic architectures to microservices isn't just a trend—it's a fundamental change in how we build, deploy, and scale backend systems. Whether you're a seasoned architect or a developer exploring distributed systems, having the right prompts can save hours of design and debugging time. This collection brings together practical, ready-to-use prompts for Node.js, Django, and FastAPI, covering everything from initial design to production hardening.
1. Design a Microservices Architecture with Domain-Driven Design
Prompt: "Act as a senior software architect. Design a microservices architecture for an e-commerce platform using Domain-Driven Design (DDD). Identify bounded contexts, aggregate roots, and define service boundaries. Provide a diagram in ASCII and explain the communication patterns (sync/async) for each interaction. Consider eventual consistency and idempotency."
Why it works: This prompt forces the AI to think about business capabilities rather than technical layers. In practice, I used a similar prompt when designing a payment system that needed to handle high concurrency. The result was a clear split between order, payment, and inventory services, each with its own database.
2. Generate a FastAPI Service with Async SQLAlchemy and Pydantic
Prompt: "Write a FastAPI application with async SQLAlchemy 2.0 and Pydantic v2. Include models, schemas, CRUD operations, and a dependency for database sessions. The service should expose REST endpoints for a 'Product' entity with fields: id, name, price, and stock. Use Alembic for migrations."
Example output:
from fastapi import FastAPI, Depends, HTTPException
from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine
from sqlalchemy.orm import sessionmaker
from pydantic import BaseModel
DATABASE_URL = "postgresql+asyncpg://user:pass@localhost/db"
engine = create_async_engine(DATABASE_URL)
SessionLocal = sessionmaker(engine, class_=AsyncSession, expire_on_commit=False)
app = FastAPI()
class ProductCreate(BaseModel):
name: str
price: float
stock: int
@app.post("/products")
async def create_product(product: ProductCreate, db: AsyncSession = Depends(get_db)):
# implementation
pass
3. Optimize Django for High Traffic with Caching and Database Indexes
Prompt: "As a Django performance expert, review this code for a social media app. Identify bottlenecks and suggest improvements: add database indexes for frequently queried fields, implement Redis caching for hot endpoints, and use select_related and prefetch_related to reduce queries. Provide concrete code changes."
Real-world impact: In a recent project, applying these optimizations reduced API response times from 800ms to 120ms for a feed endpoint, cutting database load by 70%.
4. Implement Circuit Breaker Pattern in Node.js with axios
Prompt: "Write a Node.js module that implements the circuit breaker pattern for HTTP calls using axios. The circuit should have three states: CLOSED, OPEN, and HALF_OPEN. Include configurable failure thresholds, timeout, and a fallback function. Use the 'opossum' library or implement from scratch."
Why it matters: Circuit breakers prevent cascading failures in microservices. I used this pattern to protect a Node.js gateway from a downstream service that occasionally hung, reducing p99 latency spikes.
5. Dockerize a Django App with Multi-Stage Build and Health Checks
Prompt: "Create a production-ready Dockerfile for a Django application. Use multi-stage builds to compile static files, install only production dependencies, and set up a non-root user. Add HEALTHCHECK instruction that hits the /health/ endpoint. Provide a docker-compose.yml with PostgreSQL and Redis."
Example snippet:
FROM python:3.12-slim as builder
WORKDIR /app
COPY requirements.txt .
RUN pip install --user -r requirements.txt
FROM python:3.12-slim
WORKDIR /app
COPY --from=builder /root/.local /root/.local
COPY . .
ENV PATH=/root/.local/bin:$PATH
EXPOSE 8000
USER django
HEALTHCHECK CMD curl --fail http://localhost:8000/health/ || exit 1
6. Set Up CI/CD with GitHub Actions for a FastAPI Service
Prompt: "Generate a GitHub Actions workflow for a FastAPI service. The workflow should:
- Trigger on push to main and pull requests
- Set up Python 3.11
- Install dependencies with pip
- Run linters (ruff) and tests (pytest)
- Build a Docker image and push to GitHub Container Registry
- Deploy to a Kubernetes cluster using kubectl"
Why it's useful: Automating CI/CD is non-negotiable for modern backends. This prompt gives you a solid starting point that you can adapt to your stack.
7. Database Schema Design for Multi-Tenancy in Django
Prompt: "Design a multi-tenant database schema for a SaaS application using Django. Compare approaches: shared database with tenant_id column, schema-based separation, and separate databases. Recommend the best approach for a small team with limited ops resources. Provide Django models using django-tenants."
Considerations: Multi-tenancy adds complexity, but the right choice depends on data isolation requirements and scale. For many startups, a shared database with a tenant_id and Row-Level Security is sufficient.
8. API Gateway Pattern in Node.js with Express and Rate Limiting
Prompt: "Implement an API gateway in Node.js using Express. Routes should forward requests to microservices via HTTP proxy. Add rate limiting with express-rate-limit, API key validation, and request logging. Include error handling and timeouts."
Example:
const rateLimit = require('express-rate-limit');
const limiter = rateLimit({ windowMs: 15 * 60 * 1000, max: 100 });
app.use('/api/', limiter);
9. Write Unit Tests for FastAPI with pytest and TestClient
Prompt: "Write comprehensive unit tests for a FastAPI CRUD app using pytest and TestClient. Test all endpoints including success, validation errors, and 404 cases. Mock the database layer with an in-memory SQLite or AsyncMock. Achieve at least 90% code coverage."
Personal experience: Writing tests early saved me from regressions when I refactored the authentication logic. Good tests are your safety net.
10. Implement JWT Authentication in Node.js with Passport and Redis Sessions
Prompt: "Create a JWT authentication system in Node.js using Passport.js. Include registration, login, token refresh, and logout. Store refresh tokens in Redis with TTL. Provide middleware to protect routes and handle token expiration."
Why it's popular: JWT is stateless, but refresh token rotation adds security. This prompt covers best practices.
11. Migrate a Monolithic Django App to Microservices
Prompt: "Act as a consultant. Outline a step-by-step migration plan for a monolithic Django application to microservices. Prioritize services to extract first (e.g., user auth, notifications). Discuss strangler pattern, data migration strategies, and testing approaches. Include risks and mitigation."
Key insight: Start with low-risk, high-value services and use the strangler pattern to incrementally replace functionality.
12. Monitor and Trace Microservices with OpenTelemetry and Prometheus
Prompt: "Set up observability for a microservices stack: integrate OpenTelemetry SDKs in FastAPI and Node.js services to emit traces and metrics. Configure Prometheus to scrape metrics, and set up Grafana dashboards. Show code for manual instrumentation of a critical endpoint."
Real-world benefit: Distributed tracing (as described in OpenTelemetry documentation) helps pinpoint latency bottlenecks across services, which is essential for debugging.
These prompts aren't just theoretical—they've been shaped by real production challenges. Start with the ones that resonate with your current pain points, and adapt them to your context. The key is to treat AI as a collaborative partner: iterate, refine, and validate outputs. With the right prompts, you'll accelerate your journey to robust, scalable backends.
Have you tried any of these? Share your results or your own favorite prompts in the comments. Let's build better backends together.
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