Is it suitable for high-load production environments?

These patterns follow industry-standard Go best practices for resource management and memory safety, making them ideal for production-grade backend services.

Does this skill help with race conditions?

Yes, it provides patterns for synchronization using Mutexes, WaitGroups, and atomic operations to identify and prevent data races in concurrent code.

Does it support context management?

Yes, it prioritizes the use of context.Context for efficient propagation of cancellation signals and deadlines across goroutine boundaries.

Can I implement rate limiting with this?

Absolutely. It includes patterns for bounded concurrency using semaphores and channel-based rate limiting to manage system load.

Does it handle graceful shutdowns?

Yes, it includes specific patterns for handling OS signals and ensuring all goroutines finish processing before the application exits, preventing data loss.

Go Concurrency Patterns

Name: Go Concurrency Patterns
Author: EngineerWithAI

byEngineerWithAI

API 开发

Implements high-performance Go concurrency using goroutines, channels, and advanced synchronization primitives for scalable systems.

关于

Go Concurrency Patterns provides a comprehensive framework for building robust, thread-safe Go applications within Claude Code. It equips developers with production-ready patterns including worker pools, fan-out/fan-in pipelines, and bounded concurrency using semaphores. By leveraging context management and graceful shutdown strategies, it ensures resource safety and prevents race conditions, making it an essential resource for developing high-throughput backend services and cloud-native infrastructure.

主要功能

Advanced channel communication and multiplexing with select
Context-aware cancellation and deadline management
Worker pool and task pipeline implementation
Graceful shutdown and error group coordination
Thread-safe data structures with sync.Map and sharded maps
0 GitHub stars

使用场景

Managing complex goroutine lifecycles and resource cleanup
Processing large-scale data pipelines via fan-out/fan-in
Building scalable microservices with high throughput

关于

主要功能

Advanced channel communication and multiplexing with select
Context-aware cancellation and deadline management
Worker pool and task pipeline implementation
Graceful shutdown and error group coordination
Thread-safe data structures with sync.Map and sharded maps
0 GitHub stars

使用场景

Managing complex goroutine lifecycles and resource cleanup
Processing large-scale data pipelines via fan-out/fan-in
Building scalable microservices with high throughput