patchy631/ai-engineering-hub
AI Engineering Hub offers in-depth tutorials and practical resources on Large Language Models, Retrieval-Augmented Generation, and real-world AI agent applications for all skill levels.
Awesome MCP › MCP Resources & Educational Materials
The project "building-an-agentic-system" is an in-depth book and reference guide focused on the architecture patterns necessary for building agentic systems, specifically AI coding agents like Claude Code. It provides a practical and detailed exploration of how to design responsive, reliable AI assistants that can operate in real-time. The guide is aimed at software engineers who want to build their own AI agents and are looking for practical architectural insights rather than theoretical discussions. Key topics covered include creating responsive user interfaces that support streaming responses, enabling parallel execution of tools to enhance performance, implementing permission systems to ensure safety, and designing an extensible tool architecture that allows for future growth and adaptability. The book draws from an analysis of existing systems such as Claude Code and anon-kode, providing readers with tested and proven patterns. The content is accessible online through a rendered book format, making it easy for developers to read and apply the concepts. The project is authored by Gerred Dillon with contributions from Gregory Horvath, and it is licensed under the Creative Commons BY 4.0 License, allowing for sharing and adaptation with proper attribution. Overall, this project serves as a comprehensive resource for anyone interested in the practical aspects of building sophisticated AI coding agents with a focus on system architecture and real-time responsiveness.
https://github.com/gerred/building-an-agentic-system
AI Engineering Hub offers in-depth tutorials and practical resources on Large Language Models, Retrieval-Augmented Generation, and real-world AI agent applications for all skill levels.
This repository offers a comprehensive collection of over 50 tutorials and implementations for Generative AI Agent techniques, ranging from basic conversational bots to complex multi-agent systems,...
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