error-handling-patterns

Comprehensive error handling patterns across Python, TypeScript, Rust, and Go with language-specific implementations. Build resilient applications with robust error handling strategies that gracefully handle failures and provide excellent debugging experiences. Exceptions vs Result Types: When to Use Each: Recoverable Errors: Unrecoverable Errors: Custom Exception Hierarchy: Context Managers for Cleanup: Retry with Exponential Backoff: Custom Error Classes: Result Type Pattern: Async Error Handling: Result and Option Types: Explicit Error Returns: Prevent cascading failures in distributed systems. Collect multiple errors instead of failing on first error. Provide fallback functionality when errors occur. - Covers error philosophies (exceptions vs Result types), error categories (recoverable vs unrecoverable), and language-specific patterns including custom exception hierarchies, Result types, and async error handling - Includes three universal patterns: circuit breaker for preventing cascading failures, error aggregation for collecting multiple errors, and graceful degradation with fallback functions - Provides best practices for fail-fast validation, meaningful error messages, resource cleanup, and type-safe error handling with concrete code examples - Highlights common pitfalls like overly broad exception catching, empty catch blocks, poor error messages, and unhandled async...