What languages does this skill support?

It provides specific patterns and code templates for Python, TypeScript/JavaScript, Rust, and Go, covering the idiomatic error handling styles of each.

Does this skill help with debugging production issues?

Yes, it emphasizes creating custom error hierarchies that include timestamps, error codes, and contextual details, which significantly improves log clarity and debugging speed.

When should I use Result types instead of exceptions?

Result types are recommended for expected errors and business logic failures to make them explicit in your code flow, while exceptions are best reserved for truly unexpected or unrecoverable system conditions.

How does the Circuit Breaker pattern help my application?

The Circuit Breaker pattern prevents cascading failures in distributed systems by temporarily blocking requests to a failing service, allowing it time to recover without overloading it.

Error Handling Patterns

Name: Error Handling Patterns
Author: ccf

byccf

API 开发

Implements robust, language-specific error handling strategies and resilience patterns to build fault-tolerant applications.

关于

Error Handling Patterns provides a comprehensive framework for building resilient software by mastering error propagation, graceful degradation, and debugging strategies across multiple programming languages. It guides developers through choosing between exceptions and Result types, implementing custom error hierarchies, and applying advanced architectural patterns like circuit breakers and exponential backoff. This skill is essential for designing reliable APIs and production-grade systems that handle failures gracefully rather than crashing unexpectedly, ensuring a better experience for both developers and end-users.

主要功能

Architectural guidance for Exception vs. Result type decision making
Multi-language support for Python, TypeScript, Rust, and Go specific patterns
Implementation templates for Circuit Breaker and Retry patterns
0 GitHub stars
Custom error hierarchy design for improved production observability
Strategies for handling async failures and error aggregation

使用场景

Designing resilient microservices and distributed systems
Improving production debugging through standardized error context and messaging
Modernizing legacy error handling with Result types and custom exceptions

关于

主要功能

Architectural guidance for Exception vs. Result type decision making
Multi-language support for Python, TypeScript, Rust, and Go specific patterns
Implementation templates for Circuit Breaker and Retry patterns
0 GitHub stars
Custom error hierarchy design for improved production observability
Strategies for handling async failures and error aggregation

使用场景

Designing resilient microservices and distributed systems
Improving production debugging through standardized error context and messaging
Modernizing legacy error handling with Result types and custom exceptions