Global Error Handling

Error handling for API routes involves wrapping endpoint logic in try-catch blocks, catching specific exceptions, and returning appropriate HTTP status codes (400 for validation errors, 500 for server errors). The Skill guides AI to log errors with context and ensure consistent responses across all routes.

Handle data fetching errors by wrapping fetch or Content Collection calls in try-catch, implementing React Error Boundaries for component-level failures, and displaying graceful fallbacks to users. The Skill ensures structured error logging and retry logic with exponential backoff for transient failures.

Production error monitoring with Sentry captures unhandled exceptions, logs structured error context, and tracks error trends across your application. The Skill directs AI to integrate Sentry, configure error capture for both server and client environments, and link errors to user sessions for easier debugging.

Silent failures occur when error responses aren't validated or logged. Robust error handling validates API response status codes, implements explicit error cases in client-side scripts, uses try-catch patterns consistently, and logs errors with sufficient context for troubleshooting and monitoring.

Yes. Build-time validations catch error handling gaps before deployment by checking that try-catch patterns are applied to data fetching, API calls, and critical operations. The Skill ensures your codebase enforces consistent error management practices across development and production environments.

Implement exponential backoff retry logic to automatically retry transient failures with increasing delays between attempts. The Skill guides AI to differentiate retryable errors (timeouts, 429) from permanent ones (401, 404), log retry attempts, and eventually fail gracefully after max retries.