Bismanpal-Singh opened a new issue, #234:
URL: https://github.com/apache/incubator-resilientdb/issues/234

   **Overview**
   ResInsight is an ecosystem of tools built as a Model Context Protocol (MCP) 
server. It transforms Claude (or any LLM) into a repo-aware copilot that 
provides intelligent guidance for understanding, setting up, and navigating 
complex codebases, with specific focus on ResilientDB ecosystem and its 
projects.
   
   **Motivation**
   Modern business applications use complex, interleaved tech stacks that 
evolve rapidly. For new or junior developers, onboarding requires significant 
time from experienced developers. ResInsight addresses this by:
   
   - Enabling quick functional understanding of codebases without extensive 
manual
   - code/documentation browsing
   - Providing guided installation and setup assistance with minimal expert 
intervention
   - Offering human-in-the-loop AI guidance for resolving setup blockers
   - Supporting private repository access for internal lab projects
   - Delivering domain-specific knowledge for ResilientDB ecosystem
   
   **What Makes ResInsight Unique**
   Unlike typical LLM developer tools, ResInsight is tool-first, repo-aware, 
and domain-specific:
   
   **1. Hybrid FAISS + Knowledge Graph Architecture**
    - Combines semantic embedding search with relational file graphs using 
NetworkX
    - Enables both content understanding and repository structure understanding
    - Provides explicit memory and structure rather than generic LLM responses
    
   **2. Deterministic, Reproducible AI**
    - All insights pulled from explicit MCP tools, not LLM guesses
    - Queries return data from actual GitHub repo state, eliminating 
hallucination
    - Setup instructions, file summaries, and PR diffs are fact-based
    
   **3. Private Repository Support**
    - PAT authentication enables processing internal lab/classroom repos
    - Access to repositories that commercial tools (Copilot, Sourcegraph) 
cannot reach
    
   **4. Domain-Aware ResilientDB Knowledge Base**
    - Categorizes queries (setup, architecture, consensus, apps, benchmarks)
    - Returns structured answers using curated ResilientDB (and its 
applications) knowledge base
    - Specifically designed for ResilientDB ecosystem onboarding
   
   **5. Human-in-the-Loop Guidance**
    - Setup tasks remain manual for security/privacy
    - AI provides step-by-step guidance, log interpretation, and troubleshooting
   


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