API Development Habilidades de Claude

LLM Streaming & Real-time Patterns

Implements production-ready real-time token streaming, SSE endpoints, and tool-call handling for AI applications.

Advanced TanStack Query v5

Implements high-performance data fetching, caching, and optimistic UI updates using TanStack Query v5 best practices.

Idempotency Patterns

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

Advanced FastAPI Patterns

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

CQRS Design Patterns

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

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.

gRPC Python Microservices

Implements high-performance microservice communication in Python using gRPC and Protobuf for robust, type-safe APIs.

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).

Streaming API Patterns

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

Caching Strategies & Redis Patterns

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

API Rate Limiting Patterns

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

Python Background Job Patterns

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

Streaming API Patterns

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

Rate Limiting Patterns

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

Type Safety & Validation Mastery

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

Clean Architecture Patterns

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

Saga Patterns for Distributed Transactions

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

API Idempotency Patterns

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

CQRS Architecture Patterns

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

Distributed Locking Patterns

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

MCP Server Development

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

Message Queue Patterns

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

Message Queue Patterns

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

LLM Streaming Patterns

Implements high-performance real-time token streaming and Server-Sent Events (SSE) for AI-powered applications.

Claude Prompt Caching Optimizer

Optimizes LLM token costs and latency by implementing provider-native prompt caching for Claude and OpenAI.

LangGraph Functional API

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

gRPC Python Services

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

Type Safety & Validation Patterns

Implements end-to-end type safety and runtime validation using Zod, tRPC, and Prisma for robust TypeScript and Python applications.