AI safety is becoming a software architecture problem. For years, developers learned that good systems are easier to test, change, and secure when the architecture is clean. Clear boundaries matter. Dependencies matter. Trust boundaries matter. Logs matter. Failure behavior matters. AI applications do not remove those principles. They make them more important. A basic app takes input, applies logic, and returns output. An AI app can accept open-ended instructions, retrieve private data, call ...

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