error-handling-patterns

The best way to implement error handling for API design is to apply language-agnostic patterns like distinguishing recoverable from unrecoverable errors, while using language-specific examples in Python, TypeScript, Rust, and Go to return clear, actionable error responses.

To handle asynchronous errors and apply retry patterns, use best-practice checklists for async error handling and universal resilience patterns like circuit breakers and graceful degradation to maintain stability across distributed systems.

You should use Result types instead of exceptions when implementing error handling in languages like Rust or Go, applying language-agnostic guidance to match appropriate patterns such as Result types or error codes to specific error categories.

Yes, this error handling guidance works for Python and TypeScript services by providing concrete, language-specific examples alongside universal resilience patterns to increase reliability and reduce debugging time across these languages.

Circuit breakers for error handling should be used as part of a broader strategy that includes graceful degradation and retries, applying best-practice checklists to ensure they properly manage recoverable versus unrecoverable errors in distributed systems.

To analyze a failing API call and return a clear error response, apply recommended error-handling patterns from the provided checklists to categorize the failure and implement an actionable, graceful degradation response in your target language.