@prajwal_priyadarshan121

RepoGuardian AI is an autonomous repository intelligence and impact analysis platform designed to help developers understand, analyze, and safely modify large codebases. The system performs deep parsing to understand repository structure, builds dependency graphs using Neo4j, and generates semantic embeddings for intelligent code understanding. When developers introduce code changes, RepoGuardian AI detects downstream dependencies, predicts architectural impact, identifies breaking changes, and provides AI-powered reasoning about potential failures. Using graph-based analysis, semantic retrieval, and LLM-driven contextual reasoning, the platform can trace ripple effects across files, functions, services, and APIs in real time. RepoGuardian AI also includes a self-healing engine capable of generating backward-compatible fixes, validating changes, and automatically creating pull requests with detailed risk analysis. The platform combines FastAPI, React, Neo4j, Pinecone, Groq Llama 3.3, and Google Gemini embeddings to create a modern developer intelligence workflow focused on proactive debugging, repository understanding, and autonomous code maintenance.

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