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Episode 33 of The Developer Tools Podcast. Lucas and Luna explore how evolving API schemas silently corrupt data at scale, using the real-world example of a payments API that dropped a required field from its response schema. They discuss why backward compatibility alone isn't enough, how client-side assumptions harden, and why schema validation in CI/CD pipelines is a must. Plus, a note on why this show stays ad-free and how listener support makes it possible.
#APISchemaEvolution #DataCorruption #BackwardCompatibility #SchemaValidation #CI/CD #PaymentsAPI #DeveloperExperience #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #DevTools #Engineering #LucasAndLuna #SchemaChange #APIDesign #DataIntegrity #SoftwareEngineering #Fexingo
Keep every episode free: buymeacoffee.com/fexingo
By FexingoEpisode 33 of The Developer Tools Podcast. Lucas and Luna explore how evolving API schemas silently corrupt data at scale, using the real-world example of a payments API that dropped a required field from its response schema. They discuss why backward compatibility alone isn't enough, how client-side assumptions harden, and why schema validation in CI/CD pipelines is a must. Plus, a note on why this show stays ad-free and how listener support makes it possible.
#APISchemaEvolution #DataCorruption #BackwardCompatibility #SchemaValidation #CI/CD #PaymentsAPI #DeveloperExperience #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #DevTools #Engineering #LucasAndLuna #SchemaChange #APIDesign #DataIntegrity #SoftwareEngineering #Fexingo
Keep every episode free: buymeacoffee.com/fexingo