API Development Habilidades de Claude

API Versioning Strategies

Implements robust API versioning patterns and lifecycle policies to ensure backward compatibility and smooth service evolution.

Type Safety & Validation Mastery

Implements end-to-end type safety and runtime validation using Zod, tRPC, Prisma, and advanced TypeScript patterns.

CQRS Design Patterns

Implements Command Query Responsibility Segregation (CQRS) to optimize data access by separating read and write operations into distinct models.

Domain-Driven Design (DDD) Patterns

Implements Domain-Driven Design tactical patterns to model complex business logic using entities, value objects, and bounded contexts.

Advanced FastAPI Patterns

Implements production-ready FastAPI architectures including lifespan management, dependency injection, and high-performance middleware.

Idempotency Patterns

Implements robust idempotency and deduplication patterns for APIs and distributed systems to ensure exactly-once execution.

Saga Patterns for Distributed Transactions

Implements robust saga patterns to manage distributed transactions and maintain consistency across microservices through orchestration and choreography.

MCP Server Building

Develops custom Model Context Protocol (MCP) servers to extend Claude's capabilities with specialized tools, data resources, and prompt templates.

API Rate Limiting Patterns

Protects web services and APIs from abuse by implementing distributed rate limiting strategies using Redis and modern algorithms.

FastAPI Clean Architecture Enforcer

Enforces strict layer separation and Clean Architecture patterns in FastAPI projects through automated, blocking validation.

Message Queue Patterns

Implements high-performance asynchronous messaging and event-driven architectures using RabbitMQ, Kafka, and Redis Streams.

Caching Strategies & Redis Patterns

Implements high-performance Redis caching patterns including cache-aside, write-through, and stampede prevention for backend services.

Python Background Job Patterns

Implement scalable, asynchronous task processing and job queues using Celery, ARQ, and Redis in Python backends.

Transactional Outbox Pattern

Implements reliable, atomic event publishing to ensure consistency between database state and message brokers.

Clean Architecture & DDD Patterns

Implements maintainable, decoupled backend systems using SOLID principles, hexagonal architecture, and Domain-Driven Design (DDD).

Advanced Celery Orchestration

Implements complex background task patterns, enterprise workflows, and production-grade monitoring for Celery in Python environments.

Streaming API Patterns

Implements production-ready real-time data streaming using Server-Sent Events (SSE), WebSockets, and ReadableStream APIs.

Streaming API Patterns

Implements production-ready real-time data streaming patterns using SSE, WebSockets, and ReadableStream for high-performance applications.

API Idempotency Patterns

Implements exactly-once semantics and request deduplication for reliable distributed systems and APIs.

Saga Patterns for Distributed Transactions

Implements orchestration and choreography patterns to maintain data consistency across distributed microservices.

Rate Limiting Patterns

Implements robust API rate limiting and request throttling using Redis-backed distributed patterns like Token Bucket and Sliding Window.

Message Queue Patterns

Implements robust asynchronous communication and event-driven architectures using Kafka, RabbitMQ, Redis, and Postgres.

Clean Architecture Patterns

Implements SOLID principles, hexagonal architecture, and Domain-Driven Design (DDD) patterns for building maintainable and testable backends.

MCP Server Development

Builds custom Model Context Protocol (MCP) servers to extend Claude's capabilities with tools, resources, and prompt templates.

Distributed Locking Patterns

Implements robust distributed locking mechanisms using Redis and PostgreSQL to coordinate shared resources across multiple service instances.

Python Background Jobs

Implements asynchronous task processing, distributed job queues, and scheduled workers using Celery, ARQ, and Redis.

CQRS Architecture Patterns

Implements Command Query Responsibility Segregation (CQRS) patterns to separate read and write operations for high-performance, scalable systems.

API Versioning Strategies

Implements robust API versioning patterns and lifecycle policies for evolving production-grade REST services.

gRPC Python Services

Implements high-performance microservice communication using gRPC and Protocol Buffers for Python-based backend systems.

LangGraph Functional API

Simplifies AI workflow development using Python decorators for orchestration, parallel execution, and state persistence.