error-handling-patterns

Cross-language error handling patterns include exceptions, Result types, and error codes tailored to each language. This Skill provides categorized error classes, retry logic, and circuit breaker templates with runnable examples for Python, TypeScript, Rust, and Go to ensure robust application development.

Implementing a circuit breaker pattern stops cascading failures by tripping a breaker when downstream error rates spike. This Skill provides universal error handling templates, retry logic, and graceful degradation best practices to build robust APIs that recover from transient faults.

Use Result types for explicit, type-safe error propagation in languages like Rust, whereas exceptions suit dynamic languages like Python. This Skill compares these error handling philosophies to help you distinguish recoverable from unrecoverable errors during API design and feature development.

Refactoring a function to use explicit error types involves defining categorized error classes and returning structured failures to a caller-friendly API. This Skill provides cross-language templates with runnable examples to implement explicit error typing and proper error propagation.

Common error handling pitfalls include swallowing exceptions, mixing recoverable and unrecoverable errors, and lacking retry logic. This Skill outlines best practices and anti-patterns across Python, TypeScript, Rust, and Go, offering templates to avoid these mistakes and improve application robustness.

Yes, these cross-language error handling patterns apply directly to feature development, API design, debugging sessions, and reliability improvements. The templates support explicit error typing, categorized error classes, and graceful degradation across multiple languages to address diverse development scenarios.