Why Do AI Code Dependencies Behave Differently in Production vs Tests?

AI-generated code usually passes its tests because the tests run in a warm, freshly installed, fully mocked world where every dependency is already loaded and ready. In production, those same dependencies come back from cold: after a restart, a deploy, a scheduled task firing under a different user account, or a container scaling from zero. They return with different credentials, environment variables, working directories, cached state, and versions. This episode names that gap the Resurrection Problem and explains why builders need to test the moment a system wakes up, not only the moment it runs.

 Produced by VoxCrea.AI

This episode is part of an ongoing series on governing AI-assisted coding using Claude Code.

👉 Each episode has a companion article — breaking down the key ideas in a clearer, more structured way.
If you want to go deeper (and actually apply this), read today’s article here:
𝐂𝐥𝐚𝐮𝐝𝐞 𝐂𝐨𝐝𝐞 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐬

 At aijoe.ai, we build AI-powered systems like the ones discussed in this series.
If you’re ready to turn an idea into a working application, we’d be glad to help.