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Implements advanced Retrieval-Augmented Generation (RAG) techniques for intelligent document querying and contextual AI response generation.

Generates comprehensive, developer-friendly API documentation from code, extracting endpoint details, parameters, examples, and best practices automatically.

Provides a comprehensive design system library with standardized tokens, components, and styling patterns for consistent and scalable UI development.

Builds intelligent, scalable Telegram bots with advanced architecture, interactive interfaces, and strategic monetization strategies.

Crafts compelling, conversion-focused portfolios that transform personal websites into powerful career and client acquisition tools for developers and designers.

Systematically request code reviews using a specialized subagent to catch issues early and ensure code quality before merging or proceeding with development.

Detects and helps internationalize applications by identifying hardcoded strings, managing translations, and supporting multi-language and RTL language requirements.

Provides comprehensive React/TypeScript frontend development guidelines, covering component creation, feature structure, data fetching, routing, styling, and performance optimization best practices.

Generates optimized React project configurations and best practices specifically tailored for Vercel deployment, ensuring high-performance web applications.

Engineers advanced Retrieval-Augmented Generation (RAG) systems by optimizing document embeddings, vector search, and semantic retrieval strategies.