Code Architecture Mapper: Revolutionary AI-Powered Repository Analysis
Built revolutionary AI agent orchestration platform with LangGraph, combining hybrid static analysis and self-correcting AI to help understand the code architecture.
Impact & Results
The Problem
Traditional code analysis tools provide basic static analysis but lack intelligent insights about software architecture. Developers spend hours manually creating documentation and architecture diagrams. Existing tools cannot understand complex relationships between components or generate meaningful architectural insights. Manual diagram creation is error-prone and time-consuming, often resulting in outdated or inaccurate documentation.
The Solution
Developed revolutionary multi-agent AI system using LangGraph workflows with specialized agents working in concert. Built hybrid analysis engine combining Grimp (Python), Tree-sitter (JS/TS), and NetworkX (graph theory) for maximum accuracy. Created self-correcting AI that generates Mermaid diagrams and automatically fixes syntax errors through iterative validation. Implemented intelligent fallback strategies ensuring analysis always succeeds, with progressive enhancement from rule-based to AI-powered generation.
The Results
Successfully deployed production-ready platform with live demo at cam.theshikhar.com. Achieved 95%+ accuracy in syntax validation and diagram generation through self-correcting AI systems. Built comprehensive multi-agent orchestration handling complex repository analysis workflows. Created breakthrough approach combining static analysis with intelligent AI insights. Developed reusable framework for AI agent workflows applicable to other code analysis domains.
Technical Challenges
Orchestrating multiple AI agents with LangGraph while maintaining consistency and performance. Building hybrid analysis engine that accurately parses Python, JavaScript, and TypeScript codebases. Implementing self-correcting AI that can detect and fix its own diagram syntax errors. Handling complex dependency resolution across different package managers and configuration files. Ensuring production-ready performance with real-time progress updates and intelligent caching strategies.
Screenshots & Gallery
