Recently, an inquiry from auditors led to the exploration of tracking AI coding agents' file interactions in Visual Studio Code. The solution involves using a feature called Agent Hooks, currently in preview. Hooks allow the execution of custom commands at specific points during an agent session, enhancing security, enforcing policies, and improving auditing. Hooks operate independently of agent skills, focusing on control rather than knowledge. With hooks, actions such as blocking dangerous commands, ensuring compliance through logging, and integrating contextual data can be automated. The hook events, like SessionStart and PreToolUse, help determine when specific automated actions are taken. By using hooks, an organization can maintain a detailed audit trail of all activities performed by AI coding agents, ensuring compliance and streamlining the coding process. A specific GitHub repository offers the necessary configuration to implement these hooks for auditing AI AL coding sessions in Visual Studio Code.
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