Error Handling Stops Scaling When Treated as a Local Coding Habit
This technical analysis argues that treating error handling as a local coding habit rather than a systemic design principle causes software systems to become brittle and hard to maintain. While prototype stages often rely on simple error bubbling, long-term evolution requires robust failure paths that manage retry decisions, degradation, and alerting. The article highlights the core tension between governance, which needs stable error classifications for callers, and diagnostics, which require detailed root-cause information for troubleshooters. To address this, the author introduces the 'Wukong Error Governance Model,' implemented in Rust via the 'orion-error' crate. This model separates errors into a 'contract channel' for stable identity and governance attributes, and a 'diagnostic channel' for detailed context and cause chains. By using adaptive outputs generated from policy rather than handcrafted responses, developers can preserve diagnostic depth without coupling upper layers to low-level implementation details. The piece emphasizes that while languages like Java, Go, and Rust provide building blocks for error handling, they do not automatically constitute an error architecture, necessitating a deliberate approach to error governance.
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Error Handling Stops Scaling When Treated as a Local Coding Habit
This technical analysis argues that treating error handling as a local coding habit rather than a systemic design principle causes software systems to become brittle and hard to maintain. While prototype stages often rely on simple error bubbling, long-term evolution requires robust failure paths that manage retry decisions, degradation, and alerting. The article highlights the core tension between governance, which needs stable error classifications for callers, and diagnostics, which require detailed root-cause information for troubleshooters. To address this, the author introduces the 'Wukong Error Governance Model,' implemented in Rust via the 'orion-error' crate. This model separates errors into a 'contract channel' for stable identity and governance attributes, and a 'diagnostic channel' for detailed context and cause chains. By using adaptive outputs generated from policy rather than handcrafted responses, developers can preserve diagnostic depth without coupling upper layers to low-level implementation details. The piece emphasizes that while languages like Java, Go, and Rust provide building blocks for error handling, they do not automatically constitute an error architecture, necessitating a deliberate approach to error governance.
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