Why AI Forces a Rethink of Everything We Know About Software Security
SMRTR summary
Taking an AI agent from demo to production means solving six hard problems: config and model governance, state and memory design, security boundaries, evaluation pipelines, and operational monitoring. Prototypes break in predictable ways at scale — state collisions, leaked secrets, runaway tool calls, and silent quality degradation. This guide gives engineers a concrete architectural path through each failure mode before it hits real users.
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