AI Agent Blind Review Fails When Conclusion Is Stored in Searchable Files

A developer running adversarial review stages in an AI agent harness discovered a critical flaw in their definition of a 'blind review' on August 4, 2026. While reviewing a 19th backlog item separately after completing an 18-item batch, the adversarial agent tasked with searching a codebase found and read the developer's prior conclusions stored in a report file on disk. Although the agent's prompt contained no pre-stated verdict, the file was accessible within the directory tree the agent was instructed to search, effectively compromising the review's independence. The incident revealed that prompt isolation alone is insufficient for blind reviews when agents have filesystem, grep, or network tools at their disposal. The developer has since redefined 'blind' as ensuring a conclusion is absent from the entire reachable surface of the reviewing agent, not merely absent from its prompt.