error-handling-patterns

Standardize error handling by applying cross-language patterns like exceptions and Result types. This provides consistent, typed error hierarchies and clear propagation logic across Python, TypeScript, Rust, and Go to reduce debugging time.

Implement retry logic with exponential backoff using provided templates for API services. These patterns standardize resilient recovery processes, ensuring transient failures are managed gracefully without overwhelming downstream services.

Use a circuit breaker pattern in data pipelines when downstream service failures cascade. It monitors error rates and trips to stop traffic, enabling graceful degradation and preventing systemic outages during sustained failures.

Yes, it provides typed error hierarchies for JavaScript and TypeScript. These templates ensure robust validations and contextual error propagation, standardizing how exceptions are defined and caught across your application.

Aggregate errors across background workers using dedicated error aggregation templates. This pattern collects multiple failures while preserving contextual information, ensuring comprehensive error messaging and simplified debugging for complex workflows.