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Common Exception Handling Mistakes and Best Practices

Exception Handling

Updated October 7, 2025

Dhey Avelino

Definition

Common mistakes in Exception Handling include swallowing exceptions, catching too broadly, and using exceptions for control flow; best practices help you write clearer, safer recovery logic.

Overview

When learning Exception Handling, beginners often adopt patterns that seem to work in the short term but introduce subtle bugs, hidden failures, or poor user experiences. This article highlights common mistakes and pairs each with practical best practices so you can avoid pitfalls and build robust, maintainable error handling.


Mistake 1: Swallowing exceptions

Some code catches an exception and does nothing — no logging, no rethrow, no user notice. This hides problems and makes debugging nearly impossible. The program continues in an unknown state and bugs silently propagate.

Best practice: Always take intentional action when catching an exception: correct, retry, log, or escalate. If you genuinely cannot handle it, rethrow or wrap the exception with context so higher layers can decide.


Mistake 2: Catching generic exceptions

Catching Exception or Throwable (in many languages) swallows everything, including programming errors and control-flow exceptions. This reduces clarity about what failures you expected and which you didn't.

Best practice: Catch specific exception types. If you must catch broadly at a boundary, log full details and avoid suppressing important errors.


Mistake 3: Using exceptions for normal control flow

Relying on exceptions as part of expected logic (e.g., to break loops or choose branches) makes code harder to read and can be inefficient because exceptions often have higher runtime cost.

Best practice: Use conditional checks for expected cases and reserve exceptions for truly unusual or error scenarios.


Mistake 4: Poor or absent logging

Logging only an error message without context (user ID, operation, input values) renders logs less useful. Conversely, overly verbose logging can leak sensitive data.

Best practice: Log structured information: exception type, message, stack trace, and relevant non-sensitive context. Use correlation IDs to connect logs across services.


Mistake 5: Revealing internal details to users

Displaying raw stack traces or internal exception messages to end users can be confusing and a security risk.

Best practice: Translate errors into clear, actionable messages for users. Keep technical details in logs for developers.


Mistake 6: Not cleaning up resources

Failing to close files, database transactions, or sockets in the presence of exceptions causes resource leaks and may lead to larger failures over time.

Best practice: Use finally blocks, context managers, or language-specific resource management features to ensure cleanup occurs regardless of success or failure.


Mistake 7: Retrying non-idempotent operations without safeguards

Blindly retrying operations like payment submission can cause duplicate effects and inconsistent state.

Best practice: Only retry idempotent operations or implement deduplication and idempotency keys. Use exponential backoff and a retry budget.


Mistake 8: Failing to test and simulate failures

Many exception paths go untested. When production systems hit unexpected errors, handlers that were never exercised often misbehave.

Best practice: Write unit and integration tests for error cases, simulate transient faults in staging, and use chaos or fault-injection testing where appropriate.


Mistake 9: Not categorizing exceptions

Treating every exception the same way loses opportunities to present different remediation steps for different problems.

Best practice: Create meaningful exception categories (validation, transient, permanent) and map them to different handling strategies, user messages, and monitoring alerts.


Mistake 10: Ignoring observability and metrics

Exceptions by themselves are just events. Without metrics and alerts, teams may not notice trends such as increasing rates of a specific failure type.

Best practice: Emit metrics and create alerts for high rates of specific exceptions, elevated retry counts, or increasing latency correlated with error conditions.


Summary checklist for better exception handling

  1. Catch only what you can handle and rethrow otherwise.
  2. Log exceptions with context and stack traces; avoid exposing internals to users.
  3. Use finally/context managers to release resources.
  4. Retry only when safe and use backoff strategies.
  5. Define clear exception categories and custom types where helpful.
  6. Map exceptions to user-friendly messages and machine-readable codes.
  7. Test error scenarios and monitor exception rates and patterns.


Final thought

Learning from mistakes is part of becoming a better developer. By understanding common Exception Handling pitfalls and following practical best practices — catching intentionally, logging with context, cleaning up resources, and testing error paths — you’ll build systems that fail more gracefully and are easier to operate and maintain. A little care in how you handle exceptions pays off with greater reliability and happier users.

Tags
Exception Handling
common mistakes
best practices
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