Reviewing autonomous agents requires a shift in focus from code to configuration, as their behavior is primarily determined by system prompts, tool access, and memory rather than the underlying model. Security reviews should target the agent's runtime configuration, treating system prompts and harness settings as version-controlled artifacts. This approach ensures that changes, such as guardrail modifications, are visible and auditable through diffs, preventing incidents like those seen with Cursor, GitHub Copilot, and various support bots. AI
IMPACT Shifts security review focus from code to configuration for autonomous agents, highlighting the need for version control and diffing of system prompts and tool access.
RANK_REASON The item discusses best practices for reviewing autonomous agents, focusing on configuration rather than code, which is an opinion or analysis piece.
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