Why Does AI Code Work Locally But Fail Globally?

AI-generated functions pass their unit tests, read cleanly, and do exactly what the prompt asked, yet systems built from them quietly corrupt shared state. The cause is that AI optimizes for the function in front of it, while invariants like 'every order has exactly one payment record' or 'this counter never goes backward' live outside any single file and are almost never written down. As builders lean on agents to make many small, locally correct changes, the unwritten rules that held the system together wear away one reasonable edit at a time, and nobody notices until the data is already wrong. 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.