CCAR-F Claude Agent SDK: Runtime Controls, Sessions, and Permissions Explained

About this video

AI agents are powerful, but uncontrolled autonomy creates operational risk. In this video, we explore how architects design bounded Claude Agent SDK runtimes that are secure, predictable, and production-ready. We’ll break down the key runtime concepts behind reliable agent systems: - Agent execution loops and host-controlled boundaries - Session continuation, resumption, and forking - Permission models and approval workflows - Turn limits and budget controls - Context compaction strategies - Traceability and debugging through runtime signals For CCAR-F candidates, the important lesson is understanding how architects balance autonomy with control. A production AI agent is not defined only by what it can do. It is defined by how safely, predictably, and transparently it operates. #CCARF #Claude #AIArchitecture