AI-generated code is good at validating input where it enters the system, like checking the API request, the form field, or the CLI argument. Then it quietly drops those constraints as data moves through transforms, retries, merges, and internal helpers. This episode looks at why AI checks rules at the edges and forgets them in the middle, and why that gap now causes many of the production bugs builders run into after the tests pass.


ย Produced by VoxCrea.AI

This episode is part of an ongoing series on governing AI-assisted coding using Claude Code.

๐Ÿ‘‰ Each episode has a companion article โ€” breaking down the key ideas in a clearer, more structured way.
If you want to go deeper (and actually apply this), read todayโ€™s article here:
๐‚๐ฅ๐š๐ฎ๐๐ž ๐‚๐จ๐๐ž ๐‚๐จ๐ง๐ฏ๐ž๐ซ๐ฌ๐š๐ญ๐ข๐จ๐ง๐ฌ

ย At aijoe.ai, we build AI-powered systems like the ones discussed in this series.
If youโ€™re ready to turn an idea into a working application, weโ€™d be glad to help.ย 

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