Why AI-generated tests are not the same as tests

Builders are letting AI write their test suites and treating a green checkmark as proof the code is correct. But AI-generated tests tend to encode what the code already does, not what it should do, which means they pass precisely because they were written to match the implementation. This episode unpacks why a suite of AI-authored tests can give you false confidence while catching almost none of the bugs that matter.

 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.