Why Does AI Code Test Coverage Hide Untested Paths?

AI tools now write the code and the tests together, and coverage numbers have climbed to levels that once took a team months to reach. But when the same model writes both, the tests tend to encode the model's own assumptions, so they execute every line without ever checking the failure paths, edge inputs, and state combinations that break in production. This episode explains why high coverage on AI-written code is now a weaker signal than it used to be, and what builders should measure in its place.

 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.