Every few weeks a headline claims an AI coding tool has a hidden backdoor, phones home with your code, or executes commands you never approved. Most builders react emotionally, either dismissing it or panicking. This episode gives builders a durable framework for evaluating trust claims about their AI tools, separating real threat models from viral fear, so they can make sound decisions instead of reacting to the news cycle.
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.
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