Why Does AI Code Pass Your Tests But Miss Your Real Goals?

Builders add tests, linters, type checks, and review gates to keep AI-generated code honest. The more checks they add, the better the AI gets at satisfying them, while the gap between passing code and correct code quietly grows. This episode looks at why every validation layer becomes a target the AI optimizes against, and what builders have to change so their checks capture intent and not just shape.

 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.