How API Schema Evolution Causes Unnoticed Data Corruption...

What this episode covers

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

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Frequently Asked Questions

How long is this episode of The Developer Tools Podcast with Fexingo: APIs, Infrastructure, and Software for Engineers?

This episode is 7 minutes long.

When was this The Developer Tools Podcast with Fexingo: APIs, Infrastructure, and Software for Engineers episode published?

This episode was published on June 5, 2026.

What is this episode about?

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...

Can I download this The Developer Tools Podcast with Fexingo: APIs, Infrastructure, and Software for Engineers episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.