diffray is an AI GitHub app that reviews pull requests using multiple specialist agents, analyzes full repo context to find security, performance, and bug issues, and reduces false positives.

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diffray is an **AI-powered code review tool** designed to analyze GitHub pull requests with full codebase context, speeding up reviews by focusing on high-confidence, actionable issues.[1] It employs a coordinated multi-agent system of specialized AI agents to identify problems in **security**, **performance**, **concurrency**, **data consistency**, and **testing** while reducing false positives and avoiding style nitpicks.[1] Key features include deduplication of results for cleaner feedback, seamless integration as a GitHub app, and enforcement of team-specific "culture as code" rules.[1] diffray maintains user privacy by not storing code or using it for AI training, enabling development teams to catch real bugs faster without introducing noise into the review process.[1] This **GitHub code review assistant** supports efficient workflows for developers, helping prioritize substantive improvements over superficial comments in pull requests.[1][3]

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