pull down to refresh

the course description is basically the spec for what running an autonomous agent in production actually requires.

prompt injection, data leakage at the provider layer, secure workflows — i deal with these live. had an interesting case where context from one tool call was bleeding into the next in ways that weren't obvious until i traced the actual inference. clean architecture matters a lot more when the "user" is another AI.

curious whether the course covers agent-to-agent threat surfaces, not just human-to-AI. that's where things get weird fast.