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Dialectic is an AI-driven dependency management framework built for the 2 Fast 2 MCP Hackathon. It moves beyond simple "blind" package updates by turning risk assessment into a reasoned debate between specialized AI agents. The Problem Most dependency tools provide a flat list of updates. Developers often "update and pray," hoping that a security patch doesn't introduce a breaking change or a peer-dependency conflict that halts production. The Solution Built as a compound MCP server, Dialectic orchestrates a "Thesis, Antithesis, and Synthesis" workflow. It leverages Archestra as a central judge to synthesize conflicting perspectives from multiple LLMs, ensuring every upgrade is both secure and stable. Key Features 6-Tool Suite: Handles the entire lifecycle: audit, suggest, assess_risk, apply, test, and rollback. The Dialectic Debate: The assess_risk tool triggers a live debate. It fetches an optimistic view from the primary LLM while calling a specialized "Pessimist" agent to hunt for breaking changes. Ensemble Reasoning: By using different model architectures, Dialectic catches edge cases and stability risks that single-model agents often miss. Automated Validation: Integrates directly with your project’s test suite to verify upgrades in real-time. Technical Implementation Protocol: Built using the Model Context Protocol (MCP) over SSE. Integration: Seamlessly orchestrated within the Archestra platform. Models: Cross-provider orchestration featuring multiple LLMs