Why API Errors Should Return Structured Error Objects

Episode notes

Lucas and Luna dig into one of the most overlooked parts of API design: error payloads. Most APIs return a string message or an empty body on failure, which forces developers to parse text or guess. They explore a real-world case from Stripe's API, where every error returns a structured JSON object with a type, code, and parameter. They break down how this reduces debugging time, prevents cascading failures in client code, and shifts error handling from fragile string matching to robust conditional logic. They also contrast it with GitHub's older API, where error messages were inconsistent and lacked machine-readable codes. The episode is packed with concrete advice for anyone building or consuming APIs: define an error schema, document possible codes, and never return a raw stack trace in production. If you've ever cursed an API for a vague '500 Internal Server Error', this one is for you. #APIErrors #ErrorHandling #StructuredErrors #StripeAPI #GitHubAPI #DeveloperExperience #APIDesign #JSON #REST #ErrorCodes #Debugging #APIDocumentation #TechPodcast #DevTools #Business #FexingoBusiness #BusinessPodcast #SoftwareEngineering Keep every episode free: buymeacoffee.com/fexingo

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