Quick study sessions to strengthen memory and retain key concepts.
Why does OrderOps care about api errors?
Because OrderOps is graduating from internal scripts to a small service that other tools and dashboards can call…
View Card →What is the best default for api errors?
Choose the simplest shape that keeps the rule explicit, testable, and easy for the next engineer to read.…
View Card →How should you explain api errors in an interview?
Return status codes and messages that are truthful for the caller while preserving deeper detail in logs. Good…
View Card →What is the main pitfall around api errors?
Dumping raw exceptions at the client boundary makes the API feel accidental and insecure. Naming the pitfall early…
View Card →What is the core rule behind api errors?
Return status codes and messages that are truthful for the caller while preserving deeper detail in logs. This…
View Card →What does good try and except code look like?
It is explicit about the rule, honest about the data shape, easy to test, and easy to explain…
View Card →What is the next improvement after the first working version of try and except?
Clarify one boundary, add one focused test, and remove one avoidable ambiguity. Small improvements that directly reduce risk…
View Card →What anti-pattern should you watch for with try and except?
Using the feature to compress code while making the rule harder to test, debug, or explain. Compression is…
View Card →What does a good verbal answer about try and except sound like?
Clear, concrete, tradeoff-aware, and tied to one real workflow or bug pattern. Interview answers improve when they sound…
View Card →What senior-level judgment belongs with try and except?
State when you would choose this approach, when you would not, and which signal would trigger a different…
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