Led the initial implementation of this powerful web scraping tool for AI assistants. Enables Claude, Cursor, and other LLMs to browse the web, extract content, and perform batch operations.

Adapters for integrating MCP tools with LangChain.js applications, supporting both stdio and SSE transports with custom headers for authentication.

Leading AI Solutioning, Architecture and Product Design for:
- Intelligent Code Review Agent that detects bugs, security issues with deep codebase understanding
- Knowledge Graph visualization system for navigating complex codebases
- Seamless GitHub integration for maximizing development productivity
- Enterprise-grade AI agents for transforming software development workflows

Leading the design and architecture of CodeKnack's AI-powered code review agent that identifies bugs, security vulnerabilities, and performance issues with deep contextual understanding of your codebase.

Architecting comprehensive visualization systems that map relationships between classes, functions, and modules across your entire codebase, making complex dependencies instantly understandable and improving developer onboarding.

Contributing to the Model Context Protocol standard and creating libraries that bridge different AI frameworks to make intelligent agents more accessible.

Designing the next generation of specialized AI agents for CodeKnack, focused on code generation, refactoring, and repository analysis to further extend development automation capabilities and boost team productivity.