Why Does AI Code Treat Input Validation Like a Scatter Gun?

AI coding tools write defensive code by reflex. Every function gets its own null checks, type guards, and try/except blocks, so validation ends up spread across the whole codebase instead of happening once at the boundary. Security researchers call this shotgun parsing. It looks careful in a diff, but it means bad input gets partway through the system before anything rejects it, the rules quietly disagree from one function to the next, and nobody can say where the input is actually proven valid. This episode explains why AI produces this pattern and how builders can bring back a single parsing boundary that the rest of the code can trust. 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.